Paper Citation Record · LEDGER

Generative AI for Autonomous Driving: Frontiers and Opportunities

As of 20 August 2026, this Paper Citation Record lists 100 of 298 outbound references and 19 inbound Pith citation observations for arXiv:2505.08854.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.08854 v1

Coverage vector

measured 100 of 298 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:49:12.945828Z

measured 119 of 119 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:09:58.016824Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T11:29:50.230186Z

Reference resolution

100 of 298 outbound references displayed

verified exact2
verified fuzzy0
unresolved98
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 26183252-7180-43c3-92a7-8c883b36eae6 · outbound

This paper cites https: //www.goldmansachs.com/insights/articles/partially-autonomous-cars-forecast-to- comprise-10-percent-of-new-vehicle-sales-by-2030.

Generative AI for Autonomous Driving: Frontiers and Opportunities https: //www.goldmansachs.com/insights/articles/partially-autonomous-cars-forecast-to- comprise-10-percent-of-new-vehicle-sales-by-2030

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.523320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31f21802-320b-4ddf-a7a0-ff6590350e95 · outbound

This paper cites nuScenes: A multimodal dataset for autonomous driving.

Generative AI for Autonomous Driving: Frontiers and Opportunities nuScenes: A multimodal dataset for autonomous driving

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.527922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d032390-dfb7-4055-a1c9-9bc6bec545af · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

Generative AI for Autonomous Driving: Frontiers and Opportunities Scalability in perception for autonomous driving: Waymo open dataset

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.533308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25558dfb-7348-45f2-a078-f29b51f0ea64 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Generative AI for Autonomous Driving: Frontiers and Opportunities Learning transferable visual models from natural language supervision

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.538772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae320458-ac9c-4d79-875e-06f47fd1ebe2 · outbound

This paper cites Masked autoencoders are scalable vision learners.

Generative AI for Autonomous Driving: Frontiers and Opportunities Masked autoencoders are scalable vision learners

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.543549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73b1fd38-8509-48a4-a55f-be5540c77c94 · outbound

This paper cites Specification and Validation of Autonomous Driving Systems: A Multilevel Semantic Framework.

Generative AI for Autonomous Driving: Frontiers and Opportunities Specification and Validation of Autonomous Driving Systems: A Multilevel Semantic Framework

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:49:14.642702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 24e3e824-bcbf-47f3-a7da-a9ad4e5c2bfe · outbound

This paper cites Savme: Efficient safety validation for autonomous systems using meta-learning.

Generative AI for Autonomous Driving: Frontiers and Opportunities Savme: Efficient safety validation for autonomous systems using meta-learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.554053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5183c1b1-49f8-48b5-9457-8c8850f1f979 · outbound

This paper cites Automatic Generation of Scenarios for System-level Simulation-based Verification of Autonomous Driving Systems.

Generative AI for Autonomous Driving: Frontiers and Opportunities Automatic Generation of Scenarios for System-level Simulation-based Verification of Autonomous Driving Systems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.561585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd84acc7-cd44-42b4-a5c9-ca9bcda66c80 · outbound

This paper cites Simulation-based validation for autonomous driving systems.

Generative AI for Autonomous Driving: Frontiers and Opportunities Simulation-based validation for autonomous driving systems

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.567410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea972e74-3e37-465d-b59c-c1c3efac645f · outbound

This paper cites Moving Forward: A Review of Autonomous Driving Software and Hardware Systems.

Generative AI for Autonomous Driving: Frontiers and Opportunities Moving Forward: A Review of Autonomous Driving Software and Hardware Systems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.574043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b130f0e8-b5e8-457f-940a-c1dfcb5d0fa8 · outbound

This paper cites AI and ML at Waymo.

Generative AI for Autonomous Driving: Frontiers and Opportunities AI and ML at Waymo

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.579609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ca8f263-df11-4d82-9686-723545462f53 · outbound

This paper cites Waymo safety report.

Generative AI for Autonomous Driving: Frontiers and Opportunities Waymo safety report

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.584760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71cfadc4-fc02-4b23-9d12-f92f47d7b09d · outbound

This paper cites Meet the 6th-generation waymo driver.

Generative AI for Autonomous Driving: Frontiers and Opportunities Meet the 6th-generation waymo driver

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.589325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fd5e434-52f6-4834-b443-cdb5ee333ec3 · outbound

This paper cites Introducing the 5th-generation waymo driver.

Generative AI for Autonomous Driving: Frontiers and Opportunities Introducing the 5th-generation waymo driver

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.594233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ff71bce-8753-447b-a8bd-46a8bb0f2d5e · outbound

This paper cites Baidu apollo lite camera-based self-driving car doesn’t need lidar.

Generative AI for Autonomous Driving: Frontiers and Opportunities Baidu apollo lite camera-based self-driving car doesn’t need lidar

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.599831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ecf9d62-4d59-472c-bcfc-519ad9092e14 · outbound

This paper cites Fully autonomous cruise av has 5 lidar sensors.

Generative AI for Autonomous Driving: Frontiers and Opportunities Fully autonomous cruise av has 5 lidar sensors

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.606212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89b337d8-ccd3-471c-bb6e-93713b89298e · outbound

This paper cites Sae levels of driving automation™ refined for clarity and international audience.SAE Blog, 2021.

Generative AI for Autonomous Driving: Frontiers and Opportunities Sae levels of driving automation™ refined for clarity and international audience.SAE Blog, 2021

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.610841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c53e7235-8bae-415c-add9-18c8e2795348 · outbound

This paper cites [Accessed 09-04-2025].

Generative AI for Autonomous Driving: Frontiers and Opportunities [Accessed 09-04-2025]

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.615557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e20bc9b8-910a-40d2-8a52-c8ff77be17f5 · outbound

This paper cites Springer Science & Business Media, 2007.

Generative AI for Autonomous Driving: Frontiers and Opportunities Springer Science & Business Media, 2007

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.619806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a911b5f9-260f-4fd2-8491-ebda371318bf · outbound

This paper cites Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age.

Generative AI for Autonomous Driving: Frontiers and Opportunities Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.623891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ee13be7-8716-4c17-a706-d6aedc52b91f · outbound

This paper cites Deep residual learning for image recognition.

Generative AI for Autonomous Driving: Frontiers and Opportunities Deep residual learning for image recognition

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.628920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7230a649-f725-4667-9d09-a6755584a64c · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Generative AI for Autonomous Driving: Frontiers and Opportunities Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.633074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 192077db-1d65-4073-a361-c4e93630431e · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Generative AI for Autonomous Driving: Frontiers and Opportunities An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.640436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c79d0e68-f650-4752-a1a2-a381fee9878b · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

Generative AI for Autonomous Driving: Frontiers and Opportunities Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.646438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 069452d7-1203-4516-aa65-39a23a9a9b8d · outbound

This paper cites End-to-end object detection with transformers.

Generative AI for Autonomous Driving: Frontiers and Opportunities End-to-end object detection with transformers

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.651495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a60a5fe-9e7e-4db5-9575-0292de952593 · outbound

This paper cites Mask r-cnn.

Generative AI for Autonomous Driving: Frontiers and Opportunities Mask r-cnn

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.656951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d3c68ac-e604-472d-a012-45dd104d8214 · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers.Advances in neural information processing systems, 34:12077–12090, 2021.

Generative AI for Autonomous Driving: Frontiers and Opportunities Segformer: Simple and efficient design for semantic segmentation with transformers.Advances in neural information processing systems, 34:12077–12090, 2021

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.661841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25798a98-3fe6-4167-84d0-f3e7550ab24c · outbound

This paper cites Object tracking: A survey.Acm computing surveys (CSUR), 38(4):13–es, 2006.

Generative AI for Autonomous Driving: Frontiers and Opportunities Object tracking: A survey.Acm computing surveys (CSUR), 38(4):13–es, 2006

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.678154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65eb556e-bffc-442d-84b6-a090b0700074 · outbound

This paper cites Online object tracking: A benchmark.

Generative AI for Autonomous Driving: Frontiers and Opportunities Online object tracking: A benchmark

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.682066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6923c28d-2540-435b-9e37-f214767643cb · outbound

This paper cites Pyramid scene parsing network.

Generative AI for Autonomous Driving: Frontiers and Opportunities Pyramid scene parsing network

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.685788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eb8d30a-7f44-41d3-b434-107fc71de14d · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

Generative AI for Autonomous Driving: Frontiers and Opportunities The cityscapes dataset for semantic urban scene understanding

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.690010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd6dbe0b-61e0-45f9-b3b8-a0aa98a2fd20 · outbound

This paper cites Deep learning-based vehicle behavior prediction for autonomous driving applications: A review.IEEE Transactions on Intelligent Transportation Systems, 23(1):33–47, 2020.

Generative AI for Autonomous Driving: Frontiers and Opportunities Deep learning-based vehicle behavior prediction for autonomous driving applications: A review.IEEE Transactions on Intelligent Transportation Systems, 23(1):33–47, 2020

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.693908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 241defcc-60b8-40d4-90f5-a32d912911f2 · outbound

This paper cites A review of motion planning techniques for automated vehicles.IEEE Transactions on intelligent transportation systems, 17(4):1135–1145, 2015.

Generative AI for Autonomous Driving: Frontiers and Opportunities A review of motion planning techniques for automated vehicles.IEEE Transactions on intelligent transportation systems, 17(4):1135–1145, 2015

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.697855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea6d25bb-15f9-4635-ab2f-43de13b8d79b · outbound

This paper cites Multimodal end-to-end autonomous driving.IEEE Transactions on Intelligent Transportation Systems, 23(1):537–547, 2020.

Generative AI for Autonomous Driving: Frontiers and Opportunities Multimodal end-to-end autonomous driving.IEEE Transactions on Intelligent Transportation Systems, 23(1):537–547, 2020

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.701481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7369189-a0f3-46f9-bf93-a603637d82bd · outbound

This paper cites EMMA: End-to-End Multimodal Model for Autonomous Driving.

Generative AI for Autonomous Driving: Frontiers and Opportunities EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.704913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b400a9c9-deee-46a9-9739-a11875fc119e · outbound

This paper cites Tech giants may be huge, but nothing matches big data.The Guardian, 23(08):2013, 2013.

Generative AI for Autonomous Driving: Frontiers and Opportunities Tech giants may be huge, but nothing matches big data.The Guardian, 23(08):2013, 2013

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.709105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b375b22b-e312-45a7-b144-bbf2ed24d60d · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Generative AI for Autonomous Driving: Frontiers and Opportunities Imagenet: A large-scale hierarchical image database

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.712747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 599550d2-1b1b-4b52-8bd5-38c55672e17c · outbound

This paper cites Microsoft coco: Common objects in context.

Generative AI for Autonomous Driving: Frontiers and Opportunities Microsoft coco: Common objects in context

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.716229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84aef4c8-e459-40da-9560-b81b347573f8 · outbound

This paper cites YouTube-8M: A Large-Scale Video Classification Benchmark.

Generative AI for Autonomous Driving: Frontiers and Opportunities YouTube-8M: A Large-Scale Video Classification Benchmark

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.720117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b142bb08-2c55-4903-8b70-e45538f149b5 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

Generative AI for Autonomous Driving: Frontiers and Opportunities Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.723899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e373a82c-6afe-4bd0-92ef-6cb1ea0a6f95 · outbound

This paper cites Argoverse: 3d tracking and forecasting with rich maps.

Generative AI for Autonomous Driving: Frontiers and Opportunities Argoverse: 3d tracking and forecasting with rich maps

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.727347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8f12eaa-866c-483f-a8cf-9543fb604498 · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning.

Generative AI for Autonomous Driving: Frontiers and Opportunities Bdd100k: A diverse driving dataset for heterogeneous multitask learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.731027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a5c3671-f97f-4ca4-bde6-64061f5eacd0 · outbound

This paper cites Carla: An open urban driving simulator.

Generative AI for Autonomous Driving: Frontiers and Opportunities Carla: An open urban driving simulator

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.734651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb6d6f3a-c626-443f-b0c4-34827ab4b038 · outbound

This paper cites Airsim: High-fidelity visual and physical simulation for autonomous vehicles.

Generative AI for Autonomous Driving: Frontiers and Opportunities Airsim: High-fidelity visual and physical simulation for autonomous vehicles

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.738260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5410e8c9-b750-4096-9a1f-738ea9c17b42 · outbound

This paper cites Microscopic traffic simulation using sumo.

Generative AI for Autonomous Driving: Frontiers and Opportunities Microscopic traffic simulation using sumo

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.742083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bd1d759-3faa-4997-b199-1e6b7637cc04 · outbound

This paper cites Gpu- accelerated robotic simulation for distributed reinforcement learning.

Generative AI for Autonomous Driving: Frontiers and Opportunities Gpu- accelerated robotic simulation for distributed reinforcement learning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.745730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 989840e1-73c9-4d68-95ec-244eb7f45f4f · outbound

This paper cites Design and test of speed tracking control for the self-driving lincoln mkz platform.IEEE Transactions on Intelligent Vehicles, 5(2):324–334, 2020.

Generative AI for Autonomous Driving: Frontiers and Opportunities Design and test of speed tracking control for the self-driving lincoln mkz platform.IEEE Transactions on Intelligent Vehicles, 5(2):324–334, 2020

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.749662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2439ee8-21af-41e2-8a1e-0a9169b91e07 · outbound

This paper cites Mcity Data Collection for Automated Vehicles Study.

Generative AI for Autonomous Driving: Frontiers and Opportunities Mcity Data Collection for Automated Vehicles Study

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:49:14.550776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2aafb225-bd2c-468e-914a-d30cfc69defe · outbound

This paper cites https://www.prnewswire.com/news-releases/baidus-apollo-go-partners-with-autogo-in- plan-to-build-abu-dhabis-largest-robotaxi-fleet-302414551.html.

Generative AI for Autonomous Driving: Frontiers and Opportunities https://www.prnewswire.com/news-releases/baidus-apollo-go-partners-with-autogo-in- plan-to-build-abu-dhabis-largest-robotaxi-fleet-302414551.html

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.756978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9ae19d7-86ea-42f0-9a43-6930fd370183 · outbound

This paper cites https://electrek.co/2025/04/08/zoox-expands- driverless-testing-operations-to-los-angeles/.

Generative AI for Autonomous Driving: Frontiers and Opportunities https://electrek.co/2025/04/08/zoox-expands- driverless-testing-operations-to-los-angeles/

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.761351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b953282-64ad-47d8-98f6-a6ee9724556e · outbound

This paper cites https://apnews.com/article/driverless-cars-cruise-california-robotaxis- 8aa872f6b87bbff59e9c86471e87b0e7.

Generative AI for Autonomous Driving: Frontiers and Opportunities https://apnews.com/article/driverless-cars-cruise-california-robotaxis- 8aa872f6b87bbff59e9c86471e87b0e7

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.765199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55353d1b-16d2-4d1c-8966-5aa3e3ba7cfa · outbound

This paper cites https://electrek.co/2025/ 02/10/elon-musk-masterful-move-goalpost-tesla-full-self-driving/.

Generative AI for Autonomous Driving: Frontiers and Opportunities https://electrek.co/2025/ 02/10/elon-musk-masterful-move-goalpost-tesla-full-self-driving/

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.768867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28270984-49a6-4aa1-a348-db4b30b756a8 · outbound

This paper cites https: //www.volkswagen-group.com/en/press-releases/automated-driving-volkswagen-group- intensifies-collaboration-with-mobileye-18290.

Generative AI for Autonomous Driving: Frontiers and Opportunities https: //www.volkswagen-group.com/en/press-releases/automated-driving-volkswagen-group- intensifies-collaboration-with-mobileye-18290

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.772668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1ae933c-31b6-468b-99f7-93d9a5aafc6c · outbound

This paper cites an unresolved cited work.

Generative AI for Autonomous Driving: Frontiers and Opportunities Unresolved cited work

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.776788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 674c7ab9-2342-460a-a21e-f6e62c99c079 · outbound

This paper cites https://nvidianews.nvidia.com/news/nvidia-unveils-drive-thor-centralized- car-computer-unifying-cluster-infotainment-automated-driving-and-parking-in-a- single-cost-saving-system.

Generative AI for Autonomous Driving: Frontiers and Opportunities https://nvidianews.nvidia.com/news/nvidia-unveils-drive-thor-centralized- car-computer-unifying-cluster-infotainment-automated-driving-and-parking-in-a- single-cost-saving-system

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.781018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85ddafd4-a154-4da7-b0d2-4d3a68010902 · outbound

This paper cites Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks.Transport reviews, 39(1):103–128, 2019.

Generative AI for Autonomous Driving: Frontiers and Opportunities Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks.Transport reviews, 39(1):103–128, 2019

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.784744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cead24b-7252-4e57-a2f6-d7976e891d5f · outbound

This paper cites Zico Kolter, Dirk Langer, Oliver Pink, Vaughan Pratt, Michael Sokolsky, Ganymed Stanek, David Stavens, Alex Teichman, Moritz Werling, and Sebastian Thrun.

Generative AI for Autonomous Driving: Frontiers and Opportunities Zico Kolter, Dirk Langer, Oliver Pink, Vaughan Pratt, Michael Sokolsky, Ganymed Stanek, David Stavens, Alex Teichman, Moritz Werling, and Sebastian Thrun

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.788164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63073ae9-e060-4436-a091-08bc303f0275 · outbound

This paper cites E2e embodied ai solves the long tail.

Generative AI for Autonomous Driving: Frontiers and Opportunities E2e embodied ai solves the long tail

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.791664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ec16ba2-bf17-47d9-822d-dc28c90d6e53 · outbound

This paper cites Zero-shot text-to-image generation.

Generative AI for Autonomous Driving: Frontiers and Opportunities Zero-shot text-to-image generation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.795162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3bd0ff1-d46f-4e9c-92e2-c8ea63c93862 · outbound

This paper cites [Accessed 09-04-2025].

Generative AI for Autonomous Driving: Frontiers and Opportunities [Accessed 09-04-2025]

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.798781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f3c90d4-5d2c-4e6b-b864-5283587d3db8 · outbound

This paper cites High-resolution image synthesis with latent diffusion models, 2021.

Generative AI for Autonomous Driving: Frontiers and Opportunities High-resolution image synthesis with latent diffusion models, 2021

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.802242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ab59fe9-b5f8-4138-bb58-d9d2bf5370bc · outbound

This paper cites Generating conceptual landscape design via text-to-image generative ai model.Environment and Planning B: Urban Analytics and City Science, page 23998083251316064, 2025.

Generative AI for Autonomous Driving: Frontiers and Opportunities Generating conceptual landscape design via text-to-image generative ai model.Environment and Planning B: Urban Analytics and City Science, page 23998083251316064, 2025

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.805779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c39cc7e5-da1e-446f-86c2-379daf0740ec · outbound

This paper cites A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT.

Generative AI for Autonomous Driving: Frontiers and Opportunities A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.809718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d585f56c-6912-420c-8478-5c61c481cade · outbound

This paper cites Geodesign in the era of artificial intelligence.Frontiers of Urban and Rural Planning, 3(1):1–12, 2025.

Generative AI for Autonomous Driving: Frontiers and Opportunities Geodesign in the era of artificial intelligence.Frontiers of Urban and Rural Planning, 3(1):1–12, 2025

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.813648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d3436f3-1954-4d4a-be69-e05593ebead2 · outbound

This paper cites Chatgpt.https://chat.openai.com/chat, Mar 2023.

Generative AI for Autonomous Driving: Frontiers and Opportunities Chatgpt.https://chat.openai.com/chat, Mar 2023

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.817489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef4c1ca0-0f08-47cc-856b-25d646238f36 · outbound

This paper cites Gpt-4 technical report, 2023.

Generative AI for Autonomous Driving: Frontiers and Opportunities Gpt-4 technical report, 2023

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.821122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7a9f161-8f7f-41d4-a31c-b54f4de7a17e · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.arXiv, January 2022.

Generative AI for Autonomous Driving: Frontiers and Opportunities Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.arXiv, January 2022

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.824750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61217432-fdb0-4001-b308-95b78225d237 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Generative AI for Autonomous Driving: Frontiers and Opportunities LLaMA: Open and Efficient Foundation Language Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.828527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ede0d5b9-d4c8-46bb-a2aa-022da0768762 · outbound

This paper cites Llama 3.2: Revolutionizing edge ai and vision with open, customizable models.

Generative AI for Autonomous Driving: Frontiers and Opportunities Llama 3.2: Revolutionizing edge ai and vision with open, customizable models

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.832543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16cdd3f6-9ea7-424a-bd09-62d2cfbd93d8 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Generative AI for Autonomous Driving: Frontiers and Opportunities Code Llama: Open Foundation Models for Code

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.836534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdf6deff-aa38-4a0d-aac9-66a7da2f3a7f · outbound

This paper cites Text2lidar: Text-guided lidar point cloud generation via equirectangular transformer.ECCV.

Generative AI for Autonomous Driving: Frontiers and Opportunities Text2lidar: Text-guided lidar point cloud generation via equirectangular transformer.ECCV

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.840732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 597b9b0a-0c77-4210-ae36-695d6c4ece46 · outbound

This paper cites Street-view image generation from a bird’s-eye view layout.IEEE Robotics and Automation Letters, 2024.

Generative AI for Autonomous Driving: Frontiers and Opportunities Street-view image generation from a bird’s-eye view layout.IEEE Robotics and Automation Letters, 2024

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.844448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0ebfb0e-026d-4c35-81e6-e9cacce14a94 · outbound

This paper cites The trajectron: Probabilistic multi-agent trajectory modeling with dynamic spatiotemporal graphs.

Generative AI for Autonomous Driving: Frontiers and Opportunities The trajectron: Probabilistic multi-agent trajectory modeling with dynamic spatiotemporal graphs

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.847866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78f03788-a06c-43fb-a19a-00d30c42b17b · outbound

This paper cites Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments.

Generative AI for Autonomous Driving: Frontiers and Opportunities Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.851239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18e589b5-d301-4d01-9afa-af4811403c7b · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36, 2024.

Generative AI for Autonomous Driving: Frontiers and Opportunities Visual instruction tuning.Advances in neural information processing systems, 36, 2024

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.854760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16ed4f40-ea7e-4d7c-9080-9b3397c28982 · outbound

This paper cites DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.

Generative AI for Autonomous Driving: Frontiers and Opportunities DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.858207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60c8700e-cc9d-43a6-8473-3139054fc566 · outbound

This paper cites The ethical concerns of artificial intelligence in urban planning.Journal of the American Planning Association, 91(2):294–307, 2025.

Generative AI for Autonomous Driving: Frontiers and Opportunities The ethical concerns of artificial intelligence in urban planning.Journal of the American Planning Association, 91(2):294–307, 2025

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.861884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd1ad6f5-effa-4685-ac96-6f8e1e4215f9 · outbound

This paper cites Human-centered geoai foundation models: where geoai meets human dynamics.Urban Informatics, 4(1):2, 2025.

Generative AI for Autonomous Driving: Frontiers and Opportunities Human-centered geoai foundation models: where geoai meets human dynamics.Urban Informatics, 4(1):2, 2025

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.865335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0efd1d8-f4a0-4541-80aa-1c9f67551b37 · outbound

This paper cites Toward urban artificial intelligence for developing justice-oriented smart cities, 2023.

Generative AI for Autonomous Driving: Frontiers and Opportunities Toward urban artificial intelligence for developing justice-oriented smart cities, 2023

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.868927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fb55f72-6ec9-4a59-9cd9-013fe88831d3 · outbound

This paper cites A survey on data-driven scenario generation for automated vehicle testing.Machines, 10(11):1101, 2022.

Generative AI for Autonomous Driving: Frontiers and Opportunities A survey on data-driven scenario generation for automated vehicle testing.Machines, 10(11):1101, 2022

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.872246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bf5763a-562a-4712-b6e2-a1ac3d0c0a9e · outbound

This paper cites A survey on safety-critical driving scenario generation—a methodological perspective.IEEE Transactions on Intelligent Transportation Systems, 24(7):6971–6988, 2023.

Generative AI for Autonomous Driving: Frontiers and Opportunities A survey on safety-critical driving scenario generation—a methodological perspective.IEEE Transactions on Intelligent Transportation Systems, 24(7):6971–6988, 2023

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.875842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 411c4ac3-42a5-4d69-85af-9fba156eeae1 · outbound

This paper cites A Survey of World Models for Autonomous Driving.

Generative AI for Autonomous Driving: Frontiers and Opportunities A Survey of World Models for Autonomous Driving

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.879345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5698cef2-266c-4dc7-9cf5-5b7c78071da0 · outbound

This paper cites Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey.

Generative AI for Autonomous Driving: Frontiers and Opportunities Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.883173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f51dfabc-1dc8-43d6-b5f6-bb16aa045e3f · outbound

This paper cites From generation to judgment: Opportunities and challenges of llm-as-a-judge.arXiv preprint arXiv:2411.16594, 2024.

Generative AI for Autonomous Driving: Frontiers and Opportunities From generation to judgment: Opportunities and challenges of llm-as-a-judge.arXiv preprint arXiv:2411.16594, 2024

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.887083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a39c1e20-4424-4847-a8f9-bd4d8269585b · outbound

This paper cites Generative AI in Transportation Planning: A Survey.

Generative AI for Autonomous Driving: Frontiers and Opportunities Generative AI in Transportation Planning: A Survey

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.890633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d80dfff-0465-497a-bd75-4e7eeb695cfd · outbound

This paper cites Vision-language-action models: Concepts, progress, applications and challenges.arXiv preprint arXiv:2505.04769, 2025.

Generative AI for Autonomous Driving: Frontiers and Opportunities Vision-language-action models: Concepts, progress, applications and challenges.arXiv preprint arXiv:2505.04769, 2025

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.894508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 814a6b4a-bb79-431c-a5d3-1152d75ccca3 · outbound

This paper cites Autonomous driving strategies at intersections: Scenarios, state-of-the-art, and future outlooks.

Generative AI for Autonomous Driving: Frontiers and Opportunities Autonomous driving strategies at intersections: Scenarios, state-of-the-art, and future outlooks

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.898285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 979952ab-00df-4958-9ffa-f0b8db2fb9c6 · outbound

This paper cites Recent advancements in end-to-end autonomous driving using deep learning: A survey.IEEE Transactions on Intelligent Vehicles, 9(1):103–118, 2023.

Generative AI for Autonomous Driving: Frontiers and Opportunities Recent advancements in end-to-end autonomous driving using deep learning: A survey.IEEE Transactions on Intelligent Vehicles, 9(1):103–118, 2023

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.901819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15c17358-6542-4ad7-b02d-18238bca8fba · outbound

This paper cites 3d object detection for autonomous driving: A comprehensive survey.International Journal of Computer Vision, 131(8):1909–1963, 2023.

Generative AI for Autonomous Driving: Frontiers and Opportunities 3d object detection for autonomous driving: A comprehensive survey.International Journal of Computer Vision, 131(8):1909–1963, 2023

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.905344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52582159-f50f-4587-8d39-14aba3d0be06 · outbound

This paper cites World models for autonomous driving: An initial survey.IEEE Transactions on Intelligent Vehicles, pages 1–17, 2024.

Generative AI for Autonomous Driving: Frontiers and Opportunities World models for autonomous driving: An initial survey.IEEE Transactions on Intelligent Vehicles, pages 1–17, 2024

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.908992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82d4af62-7331-463c-a114-30cb1eed6f4c · outbound

This paper cites A survey on multimodal large language models for autonomous driving.

Generative AI for Autonomous Driving: Frontiers and Opportunities A survey on multimodal large language models for autonomous driving

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.912469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdc16643-2e60-4ef7-90fd-513ef231b266 · outbound

This paper cites Collaborative perception in autonomous driving: Methods, datasets, and challenges.IEEE Intelligent Transportation Systems Magazine, 15(6):131–151, 2023.

Generative AI for Autonomous Driving: Frontiers and Opportunities Collaborative perception in autonomous driving: Methods, datasets, and challenges.IEEE Intelligent Transportation Systems Magazine, 15(6):131–151, 2023

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.915945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63ebf57f-b51f-4d2f-8eef-17eab43dac14 · outbound

This paper cites A Survey for Foundation Models in Autonomous Driving.

Generative AI for Autonomous Driving: Frontiers and Opportunities A Survey for Foundation Models in Autonomous Driving

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.919376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be75ded6-5273-4ea4-a726-c232c5ced6b4 · outbound

This paper cites an unresolved cited work.

Generative AI for Autonomous Driving: Frontiers and Opportunities Unresolved cited work

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.923305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b9ce464-5f32-4cca-9255-d5b13581e829 · outbound

This paper cites Explainable artificial intelligence for autonomous driving: A comprehensive overview and field guide for future research directions.IEEE Access, 12:101603–101625, 2024.

Generative AI for Autonomous Driving: Frontiers and Opportunities Explainable artificial intelligence for autonomous driving: A comprehensive overview and field guide for future research directions.IEEE Access, 12:101603–101625, 2024

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.927388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 586d03ae-ee57-4db3-9598-1f818cc8b299 · outbound

This paper cites Autonomous driving system: A comprehensive survey.Expert Systems with Applications, 242:122836, 2024.

Generative AI for Autonomous Driving: Frontiers and Opportunities Autonomous driving system: A comprehensive survey.Expert Systems with Applications, 242:122836, 2024

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.931008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67b7805f-d847-4552-b65b-05cfc188334a · outbound

This paper cites LLM4Drive: A Survey of Large Language Models for Autonomous Driving.

Generative AI for Autonomous Driving: Frontiers and Opportunities LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.934587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7500e01-85ba-4432-bd9e-c7d1590c04d7 · outbound

This paper cites End-to-end autonomous driving: Challenges and frontiers.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

Generative AI for Autonomous Driving: Frontiers and Opportunities End-to-end autonomous driving: Challenges and frontiers.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.938538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1e6958f-7935-4161-a2ca-484ab5c09c91 · outbound

This paper cites Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities.

Generative AI for Autonomous Driving: Frontiers and Opportunities Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.942064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f8f6560-2f9a-4f81-a821-ac3b88dba0ce · outbound

This paper cites Multimodal image synthesis and editing: The generative ai era.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(12):15098–15119, 2023.

Generative AI for Autonomous Driving: Frontiers and Opportunities Multimodal image synthesis and editing: The generative ai era.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(12):15098–15119, 2023

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-15T21:49:12.945828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c451bdcf-ea41-4355-afde-dd4fa4c9df7b · inbound

AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning cites this paper.

AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:46:44.057484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c138391a-9c80-42a0-8c42-75d0120c8617 · inbound

Demystifying the Visual Quality Paradox in Multimodal Large Language Models cites this paper.

Demystifying the Visual Quality Paradox in Multimodal Large Language Models Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T23:56:38.258093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e59e7ee8-b768-4f3f-b5b9-da1fb20f6a99 · inbound

DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving cites this paper.

DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:58.016824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e8d5070-a50d-43d2-a490-b89a1474fc3c · inbound

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration cites this paper.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:58.634841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df231ec5-bb88-4b50-8e54-16ea06d8a6f7 · inbound

A New Perspective On AI Safety Through Control Theory Methodologies cites this paper.

A New Perspective On AI Safety Through Control Theory Methodologies Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T21:38:17.967933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dd11cf0-ba85-443d-aba3-3580c7ae8eef · inbound

Automated Vehicles Should be Connected with Natural Language cites this paper.

Automated Vehicles Should be Connected with Natural Language Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:52.244207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 098c9caa-5d0e-4179-8561-7f9e3cf88af4 · inbound

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition cites this paper.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T12:39:05.360292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ce04a17-3c58-4367-ad62-395bb2c71e54 · inbound

Edge-Based Multimodal Sensor Data Fusion with Vision Language Models (VLMs) for Real-time Autonomous Vehicle Accident Avoidance cites this paper.

Edge-Based Multimodal Sensor Data Fusion with Vision Language Models (VLMs) for Real-time Autonomous Vehicle Accident Avoidance Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T05:57:51.037642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 231da082-ec55-44f0-b406-be0c85b531a2 · inbound

Generative AI for Testing of Autonomous Driving Systems: A Survey cites this paper.

Generative AI for Testing of Autonomous Driving Systems: A Survey Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 230

Resolution: unresolved; no resolver link, observed 2026-08-05T15:24:16.347856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cd30b48-bc78-4082-aebc-812bd535c9e6 · inbound

WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World cites this paper.

WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 107

Resolution: unresolved; no resolver link, observed 2026-08-03T17:02:40.597050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ef7e487-f074-4f9a-a08b-c39a6a002f5f · inbound

Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles cites this paper.

Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:40:54.020643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b2b0e73d-9b8d-47d0-817a-abba45521b79 · inbound

EnerGS: Energy-Based Gaussian Splatting with Partial Geometric Priors cites this paper.

EnerGS: Energy-Based Gaussian Splatting with Partial Geometric Priors Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:46:24.530242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5be1272c-260f-456b-9e4e-4dd5de3865e4 · inbound

Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security cites this paper.

Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 171

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:45:01.684277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b78073fa-f04a-4fbf-9a78-5f6263ca19e0 · inbound

nuReasoning: A Reasoning-Centric Dataset and Benchmark for Long-Tail Autonomous Driving cites this paper.

nuReasoning: A Reasoning-Centric Dataset and Benchmark for Long-Tail Autonomous Driving Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:26:00.288550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d69a2619-03c2-4544-bba3-16074d40f420 · inbound

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support cites this paper.

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:56:14.205046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4304a7a1-b6d4-4975-b59b-9b35c31fc71d · inbound

FleetAgent: Teleoperation Assistant for Autonomous Fleets via Vectorized V2N Messages cites this paper.

FleetAgent: Teleoperation Assistant for Autonomous Fleets via Vectorized V2N Messages Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:49:37.375098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7655e314-13ba-4447-a12e-e6bab28bbf64 · inbound

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs cites this paper.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:29:50.231830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 63a17084-503a-4661-9e01-7b5adfb96cfa · inbound

Off the Rails: Hijacking the Scoring Head in Generative End-to-End Driving Planners with Safety-Violating Adversarial Perturbations cites this paper.

Off the Rails: Hijacking the Scoring Head in Generative End-to-End Driving Planners with Safety-Violating Adversarial Perturbations Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-01T12:55:44.535834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ed69e49d-d63d-4401-98c7-33356b325b76 · inbound

Vision-Language Assistant for Emotional Reactions to Risky Driving cites this paper.

Vision-Language Assistant for Emotional Reactions to Risky Driving Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T21:10:55.734993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.