Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems | Paper Citation Record

Observation cbe8950a-8aba-4957-b4b8-d662439f84c8 · outbound

This paper cites A Survey on Automated Driving System Testing: Landscapes and Trends,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems A Survey on Automated Driving System Testing: Landscapes and Trends,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.828569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9ce310ae-503d-41be-aab0-9d225ebfc36f · outbound

This paper cites A survey of autonomous driving: Common practices and emerging technologies,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems A survey of autonomous driving: Common practices and emerging technologies,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T17:25:04.128733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06735b6b-da26-45e3-8163-3dad3537ef73 · outbound

This paper cites Panoptic Perception for Autonomous Driving: A Survey.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Panoptic Perception for Autonomous Driving: A Survey

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T17:25:04.134121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a996c5e-5dd1-4c8d-b66f-2e48bb6ebaa7 · outbound

This paper cites A survey of deep learning techniques for autonomous driving,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems A survey of deep learning techniques for autonomous driving,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.803222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2ed9b732-9d16-4760-8a6b-b3f4e2520dfe · outbound

This paper cites Understanding how image quality affects deep neural networks,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Understanding how image quality affects deep neural networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.787726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 732dd1de-ec45-4160-a66f-d66e23b3ad21 · outbound

This paper cites Generalisation in humans and deep neural networks,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Generalisation in humans and deep neural networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.773394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f43bdd08-830b-46dd-b2ed-9d20628e795c · outbound

This paper cites Benchmarking neural network ro- bustness to common corruptions and perturbations,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Benchmarking neural network ro- bustness to common corruptions and perturbations,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T17:25:04.156141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6e1de65-095c-450f-af92-74b43f72dba2 · outbound

This paper cites AugMix: A simple data processing method to improve robustness and uncertainty,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems AugMix: A simple data processing method to improve robustness and uncertainty,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.748705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 26399475-8d76-4fc9-87a0-090c562abfc3 · outbound

This paper cites A simple way to make neural networks robust against diverse image corruptions,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems A simple way to make neural networks robust against diverse image corruptions,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.734287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0ca73bb8-89e5-49b6-884b-a307393bf35e · outbound

This paper cites Achieving generalizable robustness of deep neural networks by stability training,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Achieving generalizable robustness of deep neural networks by stability training,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.706346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a4697a9c-10e3-4810-a248-8b369b2d831a · outbound

This paper cites Data augmentation for improving deep learning in image classification problem,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Data augmentation for improving deep learning in image classification problem,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.690234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4db4d460-81cc-489e-9c76-401869377a14 · outbound

This paper cites Mind the Gap! A Study on the Transferability of Virtual Versus Physical-World Testing of Autonomous Driving Systems,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Mind the Gap! A Study on the Transferability of Virtual Versus Physical-World Testing of Autonomous Driving Systems,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.673666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 295de45b-c743-4a01-8a4e-92fd4c3964bb · outbound

This paper cites Marmot: Metamorphic runtime monitoring of autonomous driving systems,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Marmot: Metamorphic runtime monitoring of autonomous driving systems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.658174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0a29c516-1ff0-434e-8b75-7b2579b4fcb3 · outbound

This paper cites Deepxplore: Automated whitebox testing of deep learning systems,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Deepxplore: Automated whitebox testing of deep learning systems,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.638476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 958908aa-5d31-4669-a9e7-505ec6a845d3 · outbound

This paper cites Deeptest: automated testing of deep-neural-network-driven autonomous cars,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Deeptest: automated testing of deep-neural-network-driven autonomous cars,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.621226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f4cf2a76-92cc-4818-a0e3-802d051c8195 · outbound

This paper cites Deepbillboard: Systematic physical-world testing of autonomous driving systems,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Deepbillboard: Systematic physical-world testing of autonomous driving systems,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.605959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a78d4777-d011-46cb-b77b-c689ffd6f492 · outbound

This paper cites Comparing offline and online testing of deep neural networks: An autonomous car case study,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Comparing offline and online testing of deep neural networks: An autonomous car case study,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.587636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 80cfcb3f-8e49-424d-9528-4e5056b0759f · outbound

This paper cites Can offline testing of deep neural networks replace their online testing? a case study of automated driving systems,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Can offline testing of deep neural networks replace their online testing? a case study of automated driving systems,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.569408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation feb96652-ee0c-4cd0-ba8c-6ecd3e883173 · outbound

This paper cites Model vs system level testing of autonomous driving systems: a replication and extension study,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Model vs system level testing of autonomous driving systems: a replication and extension study,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.549803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d640f279-023d-44e4-8ce5-5b82370f8a71 · outbound

This paper cites Identifying and explaining safety-critical scenarios for autonomous vehicles via key features,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Identifying and explaining safety-critical scenarios for autonomous vehicles via key features,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.528203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3789c735-491a-4587-9398-4fa3dd0ee16f · outbound

This paper cites Towards Reliable AI: Adequacy Metrics for Ensuring the Quality of System-level Testing of Autonomous Vehicles,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Towards Reliable AI: Adequacy Metrics for Ensuring the Quality of System-level Testing of Autonomous Vehicles,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.504680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6497d5a7-03c6-44a7-8bca-6c3c924bd78a · outbound

This paper cites PAFOT: A Position- Based Approach for Finding Optimal Tests of Autonomous Vehicles,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems PAFOT: A Position- Based Approach for Finding Optimal Tests of Autonomous Vehicles,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.483763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 19e79de3-b82e-4e9a-936b-d344e9084ebd · outbound

This paper cites Epitester: Testing autonomous vehicles with epigenetic algorithm and attention mechanism,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Epitester: Testing autonomous vehicles with epigenetic algorithm and attention mechanism,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.464067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e4f9e063-d540-47cc-bf38-0dc23608d9e9 · outbound

This paper cites DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather Data.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather Data

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T17:25:04.237035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8cf673e-11bb-4f0e-9cd8-d4a5c1ab2ef1 · outbound

This paper cites Safety Assessment of Vehicle Characteristics Variations in Autonomous Driving Systems.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Safety Assessment of Vehicle Characteristics Variations in Autonomous Driving Systems

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T17:25:04.243886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a0ef357-0501-4742-98be-4521a40a90e6 · outbound

This paper cites An empirical comparison of combinatorial testing and search-based testing in the context of automated and autonomous driving systems,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems An empirical comparison of combinatorial testing and search-based testing in the context of automated and autonomous driving systems,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.446919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b7ace067-a46f-4914-b02a-67f33a85066c · outbound

This paper cites Utilizing genetic algorithms for generating critical scenarios for testing autonomous driving functions,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Utilizing genetic algorithms for generating critical scenarios for testing autonomous driving functions,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.431332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8cc3bf6c-b8ee-486a-b854-2bbffa303975 · outbound

This paper cites Ambiegen: A search-based framework for autonomous systems testingimage 1,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Ambiegen: A search-based framework for autonomous systems testingimage 1,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.413913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f713b81c-3601-4f99-9c8c-de6d2a26f831 · outbound

This paper cites Reality bites: Assessing the realism of driving scenarios with large language models,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Reality bites: Assessing the realism of driving scenarios with large language models,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.398142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6c62beb2-191e-448f-8c9e-d5be32e4c4dd · outbound

This paper cites Crag – a combinatorial testing-based generator of road geometries for ads testing,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Crag – a combinatorial testing-based generator of road geometries for ads testing,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T17:25:04.279254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbe3e4ae-c081-4893-8461-b169e2ac98a9 · outbound

This paper cites Parameter coverage for testing of autonomous driving systems under uncertainty,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Parameter coverage for testing of autonomous driving systems under uncertainty,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.374651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7f4e9adb-db01-4d27-a96b-a6aa2e8db17a · outbound

This paper cites Simulation-based safety testing of automated driving systems,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Simulation-based safety testing of automated driving systems,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T17:25:04.290450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12b01bca-f113-4251-8fca-8869d0806042 · outbound

This paper cites A process for scenario prioritization and selection in simulation- based safety testing of automated driving systems,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems A process for scenario prioritization and selection in simulation- based safety testing of automated driving systems,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.349632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1121633b-a849-4c38-9a5e-09db07ce4893 · outbound

This paper cites Efficient domain augmentation for autonomous driving testing using diffusion models,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Efficient domain augmentation for autonomous driving testing using diffusion models,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.333436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0672272a-4840-4c27-9dc9-be4b886c24f0 · outbound

This paper cites Data augmentation technology driven by image style transfer in self-driving car based on end-to-end learning,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Data augmentation technology driven by image style transfer in self-driving car based on end-to-end learning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.315851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bfa2af85-62e4-47a5-8764-6f0d86360bf7 · outbound

This paper cites Learning when to use adaptive adversarial image perturbations against autonomous vehicles,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Learning when to use adaptive adversarial image perturbations against autonomous vehicles,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.301949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 25698ca5-65db-4c90-bb35-08bdb6f99838 · outbound

This paper cites DeepManeuver: Adversarial Test Generation for Trajectory Manipulation of Autonomous Vehicles,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems DeepManeuver: Adversarial Test Generation for Trajectory Manipulation of Autonomous Vehicles,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.282464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 286cf002-1cf7-4470-b2eb-41373d26f3c5 · outbound

This paper cites Efficient performance prediction of end- to-end autonomous driving under continuous distribution shifts based on anomaly detection,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Efficient performance prediction of end- to-end autonomous driving under continuous distribution shifts based on anomaly detection,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.264997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a88ea8cb-5dc5-4cc9-947d-8c2718b2e39b · outbound

This paper cites Replication package,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Replication package,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.243017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c007f1dd-0fb1-43fd-817a-7cc7cab97268 · outbound

This paper cites Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T17:25:04.332639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c2b7c98-d25a-49f5-a012-6e61000285ac · outbound

This paper cites MNIST-C: A Robustness Benchmark for Computer Vision.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems MNIST-C: A Robustness Benchmark for Computer Vision

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T17:25:04.338501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02244fff-fcde-4d8a-917d-70f9861e70e9 · outbound

This paper cites Autoaugment: Learning augmentation strategies from data,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Autoaugment: Learning augmentation strategies from data,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.228161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0dd12357-a8e5-4343-afbe-08fb41803f91 · outbound

This paper cites Randaugment: Practical automated data augmentation with a reduced search space,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Randaugment: Practical automated data augmentation with a reduced search space,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.212203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bdac02f4-8544-45d6-8b58-19d1eb036aff · outbound

This paper cites Imagenet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Imagenet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.196627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6f5699f4-c4f5-4819-a32c-edcbeac563fa · outbound

This paper cites Adversarial Self-Defense for Cycle-Consistent GANs,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Adversarial Self-Defense for Cycle-Consistent GANs,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.180885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2d39de21-0261-4fd1-86e7-baa8ddb81943 · outbound

This paper cites Generating Adversarial Examples in One Shot With Image- to-Image Translation GAN,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Generating Adversarial Examples in One Shot With Image- to-Image Translation GAN,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.164107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0fa9ebd5-2d7c-47ec-b23f-305fd333fff3 · outbound

This paper cites DeepRoad: GAN-based metamorphic testing and input validation framework for autonomous driving systems,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems DeepRoad: GAN-based metamorphic testing and input validation framework for autonomous driving systems,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.142871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 123312c2-d866-4abc-b9cb-b977b7f56cf9 · outbound

This paper cites Udacity self-driving car simulator,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Udacity self-driving car simulator,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.123147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation be198e5f-3c64-4e0d-8598-e8bd9d58c48e · outbound

This paper cites Sdsandbox,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Sdsandbox,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.099776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 217ab64a-0124-4b3a-9cbc-007e6078d016 · outbound

This paper cites OpenCat: Improving Interoperability of ADS Testing,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems OpenCat: Improving Interoperability of ADS Testing,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.085333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fdfda7dd-ef79-4855-954f-178caa09b291 · outbound

This paper cites A framework for automated driving system testable cases and scenarios,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems A framework for automated driving system testable cases and scenarios,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.070774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3e736370-e4da-438a-aa2a-5080a3bc3698 · outbound

This paper cites Standing general order on crash reporting for level 2 advanced driver assistance systems,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Standing general order on crash reporting for level 2 advanced driver assistance systems,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.052350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2d220db1-c0b2-4777-89f2-62f0f2da2726 · outbound

This paper cites Segformer: simple and efficient design for semantic segmentation with transformers,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Segformer: simple and efficient design for semantic segmentation with transformers,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.032651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d8080246-ecc2-45bb-9511-94eea0226f2d · outbound

This paper cites The Cityscapes Dataset for Semantic Urban Scene Understanding,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems The Cityscapes Dataset for Semantic Urban Scene Understanding,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:05.004292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 295465d9-0425-495c-b307-e497603a98bf · outbound

This paper cites Assessing quality metrics for neural reality gap input mitigation in autonomous driving testing,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Assessing quality metrics for neural reality gap input mitigation in autonomous driving testing,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:04.982408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1ca85d9a-ebcd-414e-a3bc-678bfab119ab · outbound

This paper cites End to End Learning for Self-Driving Cars.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems End to End Learning for Self-Driving Cars

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T17:25:04.429941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6a2496d-1805-4acd-86c7-b31ec2dca0cc · outbound

This paper cites Two is better than one: digital siblings to improve autonomous driving testing,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Two is better than one: digital siblings to improve autonomous driving testing,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:04.962170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 58cfb7fe-6735-44d2-a964-c26f599abe30 · outbound

This paper cites Quality metrics and oracles for autonomous vehicles testing,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Quality metrics and oracles for autonomous vehicles testing,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:04.942410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bb17fc0d-2031-483a-824d-024499f12f3e · outbound

This paper cites Boundary state generation for testing and improvement of autonomous driving systems,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Boundary state generation for testing and improvement of autonomous driving systems,

Reference 59

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T17:25:04.654738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a7ff20e6-9b1c-4250-95ec-80433c91cd28 · outbound

This paper cites Virtualworlds as proxy for multi-object tracking analysis,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Virtualworlds as proxy for multi-object tracking analysis,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:04.923351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1dac009c-9a1f-4158-acea-b6f38db11c2d · outbound

This paper cites an unresolved cited work.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:25:04.907271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7564f26f-064b-40e6-a340-8e2482639790 · outbound

This paper cites Nvidia PhysX,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Nvidia PhysX,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:04.892457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ce75ffda-0549-4a5e-be47-a24372f30d7f · outbound

This paper cites an unresolved cited work.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:25:04.878995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c93d9686-af2c-4055-abd3-c22bc8c4d2c3 · outbound

This paper cites nvidia/segformer-b0-finetuned-cityscapes-640-1280 · hugging face,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems nvidia/segformer-b0-finetuned-cityscapes-640-1280 · hugging face,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:04.866436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 74b66b7a-7335-4504-b92a-1c9a87541416 · outbound

This paper cites Papers with code, cityscapes segmentation bench- marks.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Papers with code, cityscapes segmentation bench- marks

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:04.852682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4d73bdbd-1843-4380-8812-0597b98ed965 · outbound

This paper cites Augmented reality meets computer vision: Efficient data generation for urban driving scenes,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Augmented reality meets computer vision: Efficient data generation for urban driving scenes,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:04.836287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c9586b03-369d-4a58-8869-d1d3ce94af8c · outbound

This paper cites Evaluating the impact of flaky simulators on testing autonomous driving systems,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Evaluating the impact of flaky simulators on testing autonomous driving systems,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T17:25:04.488180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f9735a0-19ca-4dfb-80d3-3caf2cf99e58 · outbound

This paper cites Digital twins are not monozygotic–cross-replicating adas testing in two industry-grade automotive simulators,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Digital twins are not monozygotic–cross-replicating adas testing in two industry-grade automotive simulators,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:04.809764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e77ed1de-b9f1-4d04-b92c-388877fa17ff · outbound

This paper cites Choose your simulator wisely: A review on open-source simulators for autonomous driving,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Choose your simulator wisely: A review on open-source simulators for autonomous driving,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:04.794289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3a7508fc-ecc5-4a92-8e7f-959517701716 · outbound

This paper cites Towards a review on simulated adas/ad testing,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Towards a review on simulated adas/ad testing,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:04.779025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation be7b368e-443c-4cf7-b0f8-8caaf30babc4 · outbound

This paper cites Benchmarking Generative AI Models for Deep Learning Test Input Generation,.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Benchmarking Generative AI Models for Deep Learning Test Input Generation,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:25:04.764597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 54a12585-9d3b-493d-a7ab-598887847296 · outbound

This paper cites an unresolved cited work.

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems Unresolved cited work

Reference 2020

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:25:05.719649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers