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Paper Citation Record · LEDGER

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software

As of 9 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2506.00645.

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

pith.paper-citation-record.v1
2506.00645 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:05:07.188038Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

71 of 71 outbound references displayed

  • verified exact0
  • verified fuzzy39
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b8d315ff-7d05-4a7a-b994-e61dfe1a853a · outbound

This paper cites com / ApolloAuto / apollo.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software com / ApolloAuto / apollo

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.881822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation bffbfdeb-3b4c-4fbe-8ac4-5bdeb647f2ae · outbound

This paper cites com / autowarefoundation / autoware.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software com / autowarefoundation / autoware

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.872559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:06.963700Z digest=sha256:d9a6dfd0b19db4f52f89f73d8c922915dd884c9789690b720416d45a8dbd697d

Observation d7b81066-a311-47e3-a6ec-04d29296f8ce · outbound

This paper cites com / DerryHub/BEVFormer_tensorrt.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software com / DerryHub/BEVFormer_tensorrt

Reference 3

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raw_fallback, observed 2026-08-07T12:05:07.863407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:06.967047Z digest=sha256:245dfc1f85bad3d7cd8cd10ace737fce6e0d71c17d131e5ffdbde0885c7bd7d2

Observation 75cf405c-6de5-4ea7-ac2c-449544cb2c98 · outbound

This paper cites an unresolved cited work.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:05:07.853641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:06.970712Z digest=sha256:4f3bf34f275cbc85c5f4dc33c48fd65f1555afdc2536bfaf7dba9a76f146070b

Observation 64b5b1c6-d591-466b-b2d1-d1019c35ca9e · outbound

This paper cites an unresolved cited work.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:05:07.844444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:06.974304Z digest=sha256:306566faf16bafc0d39da7f4a64a65e5680d6e42373c05d58ec6d47fadc6b777

Observation a5bc1971-9fd1-4aaf-b541-a33223e5d266 · outbound

This paper cites com / ksm26 / ROS - based - 3D - detection - Tracking.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software com / ksm26 / ROS - based - 3D - detection - Tracking

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.834775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:06.978150Z digest=sha256:39b4c287b28c9f89f1e8923e9b9ad3b08a4039d3820f7c021b1a357496995c8a

Observation 7b128550-0bea-4f93-8099-d299c9844bc2 · outbound

This paper cites com / laitathei / YOLOv4 - Darknet - TensorRT.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software com / laitathei / YOLOv4 - Darknet - TensorRT

Reference 7

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raw_fallback, observed 2026-08-07T12:05:07.824462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:06.982004Z digest=sha256:37517c2aa5d0e4f3b66beb50c81f2fcbb3e8edbf97503fb8541404f04273f40c

Observation 22dd5e4a-da64-4fd1-ad09-599ca2951c30 · outbound

This paper cites an unresolved cited work.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:05:07.815445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:06.985722Z digest=sha256:63893ab3b6abaa6911667c3ff0d915cad91e90a3da0c5762ef3af2fa7256f4ff

Observation 0fad4659-353f-4fef-8900-012a4b2494c7 · outbound

This paper cites an unresolved cited work.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:05:07.806465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:06.988961Z digest=sha256:4a0834134843e9b7298273e815e046816ceb1ca9ce7633811d224ac0464f3d1a

Observation c179588d-7880-4ca0-a53b-7df47f52ed72 · outbound

This paper cites an unresolved cited work.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:05:07.796962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:06.992681Z digest=sha256:64a0ae02c1ad524dba0de57b7d571c2f2f6a4822d9d5114b5df1d704892540d9

Observation a1f41cf0-6b16-4eb1-976d-8cd47c356916 · outbound

This paper cites com / intel/ros2_openvino_toolkit.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software com / intel/ros2_openvino_toolkit

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.787963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:06.995977Z digest=sha256:20af2eed36868506b423a4ef68c3a33233b9dc5ab432fee95dba8432e809780c

Observation 8d81ba23-de2d-4751-b412-876711f368bf · outbound

This paper cites Yolo3d: End-to-end real-time 3d oriented object bounding box detection from li- dar point cloud.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Yolo3d: End-to-end real-time 3d oriented object bounding box detection from li- dar point cloud

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.778899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:06.999438Z digest=sha256:29486123f050006bf4cf0fe69e64c8045dc30c66aba0caa67bff9d1d65f0ad89

Observation 814f24f4-5815-4d92-ab72-7fb7162add1d · outbound

This paper cites an unresolved cited work.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:05:07.769886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.002807Z digest=sha256:e8867959e40546dd4fcaae7e53ef82a3fcacbc6246ee782131b83bdd57daa9c6

Observation 5f52ea5e-82f8-47e2-b97a-5ed683e4f040 · outbound

This paper cites YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:07.006604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.006604Z digest=sha256:1a86717a91a95f37f9e1e292c26382ef812a7cdadb7d8a0c20c8c98e08974148

Observation 4d4e3794-60c5-49ca-8720-4388f7cbd2b6 · outbound

This paper cites Yolov4: Optimal speed and accuracy of object detection, 2020.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Yolov4: Optimal speed and accuracy of object detection, 2020

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.761255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.010403Z digest=sha256:0970d0eeabe50fbe2477c120c3a3d9b71391b118bfcc671a5f67678f5673d519

Observation 17c27a1b-f064-43dc-8a08-cfaa16c16747 · outbound

This paper cites YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

Reference 16

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no resolver link, observed 2026-08-07T12:05:07.014186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.014186Z digest=sha256:bf44b8a995d9c3a0cbf8d36ec1e15aa2b9427f8aebae1d82fad27ba57803b862

Observation 32e92c0f-bca4-4025-af34-957063051c34 · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 17

Resolution
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no resolver link, observed 2026-08-07T12:05:07.017799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.017799Z digest=sha256:c608d6308d2669a6dbf8010cc1a5e6afbd0f52b3da54608b3b1c1079085f1432

Observation 8da1e73f-9e3c-4b12-9e3e-0de31831d119 · outbound

This paper cites Zhang, Jian Cheng, and Jian Sun.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Zhang, Jian Cheng, and Jian Sun

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.751649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.021674Z digest=sha256:cface79a4380341bb673194151517dc41130a119ad349f7b853102d6e0667721

Observation 9b736081-6431-4e25-888a-87f1f7917699 · outbound

This paper cites Wellington.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Wellington

Reference 19

Resolution
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raw_fallback, observed 2026-08-07T12:05:07.742043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.025335Z digest=sha256:c739bc26e1016d5c59a05bf74b3a1802e1f2e5adcd8e53e5ac62384d4bbda5f3

Observation 8c9e8b2c-05fb-47db-8ec7-67060350a664 · outbound

This paper cites Multi-view 3d object detection network for autonomous driving.2017 IEEE Conference on Computer Vision and Pat- tern Recognition (CVPR), pages 6526–6534, 2016.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Multi-view 3d object detection network for autonomous driving.2017 IEEE Conference on Computer Vision and Pat- tern Recognition (CVPR), pages 6526–6534, 2016

Reference 20

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raw_fallback, observed 2026-08-07T12:05:07.731750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.028344Z digest=sha256:5707056ca723e8d47d9e3e7df34f93b9676c1bd11b162eab530a0254f597982d

Observation bd1b749f-9afe-4559-a52c-b6f21f57e171 · outbound

This paper cites MMDetection3D: Open- MMLab next-generation platform for general 3D object detection.https://github.com/open- mmlab/ mmdetection3d, 2020.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software MMDetection3D: Open- MMLab next-generation platform for general 3D object detection.https://github.com/open- mmlab/ mmdetection3d, 2020

Reference 21

Resolution
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raw_fallback, observed 2026-08-07T12:05:07.721746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.031808Z digest=sha256:1f0fb7718c0331deb350c5f38acef7d3ebb2c6a186555f84cd6ce193b33515e6

Observation 8906d978-b155-4e14-968a-ac40b01bdd6b · outbound

This paper cites an unresolved cited work.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Unresolved cited work

Reference 22

Resolution
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raw_fallback, observed 2026-08-07T12:05:07.711393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.035056Z digest=sha256:fc508743ed31830ae9293b0db0597b7fc4c0e3adb35d690242cbb8cb193165fb

Observation 6fbbce16-541b-421b-b47f-6ffbbcf1e346 · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software YOLOX: Exceeding YOLO Series in 2021

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:07.038171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.038171Z digest=sha256:cad2b82e9e3adc7437463f5db5807526f34f370daae3ad68bb4e17f2d81296e8

Observation 80ce0a28-63c9-4e78-8882-23d128e13c19 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:07.041877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.041877Z digest=sha256:d35f0f142336f6b7afa9e4e8b803369f2e6cca0234fa69df524a628a1c43e469

Observation 3abbdea8-fc17-4a6e-ba99-a161f15f73a0 · outbound

This paper cites Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, Quoc V.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, Quoc V

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.700848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.045163Z digest=sha256:c7f44c8546a6eb98e12cb72eae8fb87fae9a35b74e1b2bd55d20380f792e3bde

Observation 25cec83a-482a-4132-a673-e12e032bd1d1 · outbound

This paper cites BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:07.048427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.048427Z digest=sha256:900ae788065bc8a81c87bf1f3d2b5c337a747e10a57edcdcc2d2c7065c36cb62

Observation 5c2f4e00-4c7a-45da-ad59-661b508164b1 · outbound

This paper cites Detecting as labeling: Rethinking lidar-camera fusion in 3d object detection.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Detecting as labeling: Rethinking lidar-camera fusion in 3d object detection

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.690847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.052131Z digest=sha256:768978a7ae594ab6b335752afe2da3303e3f2bd49a3f15e0b2324e0930dc3438

Observation 96e3d35b-5b7e-4abf-b4df-57f22d65d7f7 · outbound

This paper cites Multi-modal Sensor Fusion for Auto Driving Perception: A Survey.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Multi-modal Sensor Fusion for Auto Driving Perception: A Survey

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:07.055296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.055296Z digest=sha256:5c096aeef3504990245c07893755a3b3a7a7da39f9751f4e3f8630e0e4ede11b

Observation 1e66f292-15cc-4cfe-aff3-c92098202d08 · outbound

This paper cites ADriver-I: A General World Model for Autonomous Driving.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software ADriver-I: A General World Model for Autonomous Driving

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:07.058475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.058475Z digest=sha256:647cea264f331ec698048e9106bfa4a319227994002d51183752ca9591bdc2fc

Observation c17a0ff8-ba67-41a7-a98d-9bc0fe27288a · outbound

This paper cites Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T12:05:07.295307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.061556Z digest=sha256:49a18a195886ad1a5be03bd1fb6e3703b3127829a47926e49bc159bc843b0ae3

Observation fab9446d-3645-4eae-943a-ea3e1f279802 · outbound

This paper cites Far3d: Expanding the horizon for surround-view 3d object detec- tion.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Far3d: Expanding the horizon for surround-view 3d object detec- tion

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.680859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.064453Z digest=sha256:d21cbab44296c3a99cbd1774afee6edceeda509b7bad745a91c9f4011dfdcf33

Observation 56ad44e5-13af-4107-af67-25b396f23deb · outbound

This paper cites Autoware on board: Enabling autonomous vehicles with embedded systems.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Autoware on board: Enabling autonomous vehicles with embedded systems

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.670724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.067339Z digest=sha256:635326d50f795d9e7016527d25487b3d61b4f5b985cbc0452bd8502f8f014344

Observation dd196ccb-9ad6-4193-9bbd-aeae523a7e1b · outbound

This paper cites Lang, Sourabh V ora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Lang, Sourabh V ora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.661470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.070323Z digest=sha256:7a79b7bf11637da41fcd3e7622eb0e6c53df0c08e8101e16b54f4a89b3b44766

Observation 1b7d9972-fe0e-45cf-b936-8b4d56639925 · outbound

This paper cites Qiao, Dahua Lin, Siqian Liu, Junchi Yan, Jianping Shi, and Ping Luo.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Qiao, Dahua Lin, Siqian Liu, Junchi Yan, Jianping Shi, and Ping Luo

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:07.073286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.073286Z digest=sha256:58b95b76ff5418be6496e958750382437f705c7a815c4d1da167147a2baa6bb7

Observation acd256c9-80b0-4234-866d-b9052d2ba5a5 · outbound

This paper cites BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:07.076348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.076348Z digest=sha256:6a6de77ed70cf4cdcdea02c8e34dd0f7a63ba278e63ac2f93473a62d5017b08e

Observation d72fe3fe-1c69-492b-b7e0-c5ffdcb90b38 · outbound

This paper cites Le, Alan Yuille, and Mingxing Tan.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Le, Alan Yuille, and Mingxing Tan

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.645659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.079465Z digest=sha256:d5f114db4a17601a5a56d5f7dca481551e606e81a7764b5d2fc4e69c123c61d5

Observation cf5b8a89-6847-4e87-afae-bbbbf3d08889 · outbound

This paper cites Fully sparse fusion for 3d object detection.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Fully sparse fusion for 3d object detection.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.636581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.082426Z digest=sha256:d3a527fd9cef658eac5dab41a3177ff1c72768f1394da994810e961dcf8c0725

Observation 2aab539f-a01e-4c57-9891-c49b18ab9aa9 · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.627740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.085371Z digest=sha256:44bbf742b97f3ef7f6c02fa7226791e0b042c76826f425618d05bd5650a6ea76

Observation 223bca5a-a37b-46e5-8a14-6f2a2b1ac3e1 · outbound

This paper cites BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:07.088379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.088379Z digest=sha256:3276d1e26dfee74315078883d9b5d93f783d4b714ee17035777ea515de57bdfc

Observation d8cab269-32b4-4b20-8163-21f1839f659e · outbound

This paper cites Bevfusion: Multi- task multi-sensor fusion with unified bird’s-eye view repre- sentation.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Bevfusion: Multi- task multi-sensor fusion with unified bird’s-eye view repre- sentation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.618328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.091474Z digest=sha256:c19addf8caba620f20498494780e32a329dcc32680740fc67576dbe44c5c4462

Observation c426c6ad-5ad2-4c10-8ff4-a2a9920b7949 · outbound

This paper cites Exploring Active 3D Object Detection from a Generalization Perspective.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Exploring Active 3D Object Detection from a Generalization Perspective

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:07.094465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.094465Z digest=sha256:0123d621db78842e0c441281f1fd43bf39a60445741194587da52afb33fe11a8

Observation 69f4cddd-f713-45d5-bd7f-0e05ac21a3ff · outbound

This paper cites Robot operating system 2: Design, architecture, and uses in the wild.Science Robotics, 7(66):eabm6074, 2022.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Robot operating system 2: Design, architecture, and uses in the wild.Science Robotics, 7(66):eabm6074, 2022

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.608282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.097372Z digest=sha256:8843cad2a8ae81ecd6b4f213ba23f957ec7b115799e79f267f23422d374d9d57

Observation 0fa92628-7af2-436f-a27f-15cf082cbacb · outbound

This paper cites 3d object detection for autonomous driving: A comprehensive survey, 2023.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software 3d object detection for autonomous driving: A comprehensive survey, 2023

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:07.100470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.100470Z digest=sha256:8cc1ec6623464d0b7d75ccc430507aa7f7775862f0c680f865ffaa0e66d5eeb3

Observation 61906fff-fc4b-4b51-9a86-44f6ccb79193 · outbound

This paper cites Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unproject- ing to 3d.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unproject- ing to 3d

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.592751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.103381Z digest=sha256:acb9aac3b73a9577914f91178648d2c224ef077738b7881570b22779999d0e06

Observation c1072c0c-c044-47fa-883a-f00a54e2ef08 · outbound

This paper cites Qi, Hao Su, Kaichun Mo, and Leonidas J.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Qi, Hao Su, Kaichun Mo, and Leonidas J

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:07.106185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.106185Z digest=sha256:a9803745315f8d0de4956c93e3b90730355b7862aa90bf4fe22a2310bfb295bc

Observation 111390b1-ae16-4c50-b3f6-b75941bf4a9e · outbound

This paper cites Qi, Li Yi, Hao Su, and Leonidas J.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Qi, Li Yi, Hao Su, and Leonidas J

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.577440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.109022Z digest=sha256:cfb4074f38ba9f4b8a067d32d7c753f59dff18aafd0b5c3266390b888bbd9377

Observation ef07b183-c9f3-4c76-afa2-ad5f009c4691 · outbound

This paper cites Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.567447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.111681Z digest=sha256:0eabe30c8563bd0d69f794a14a967d1d90c0832c848f800f331723dc28e88e71

Observation 86db6753-dd63-4be6-a1a0-d98b1319199e · outbound

This paper cites Ros: an open-source robot operating sys- tem.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Ros: an open-source robot operating sys- tem

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.558136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.114715Z digest=sha256:89a9a703d43de236d019c06bec787a9e9e40160488e18ad5b14f699d0175c20a

Observation 90519055-7b4a-4a39-8998-f5800dcbdeb1 · outbound

This paper cites YOLOv3: An Incremental Improvement.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software YOLOv3: An Incremental Improvement

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:07.117642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.117642Z digest=sha256:0a7991db8f94ceae0a4432b652f9373ad808c81888b1009a55a58a7d437799dc

Observation 2974be64-fea5-42c9-9a28-cae989ea8361 · outbound

This paper cites Girshick, and Ali Farhadi.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Girshick, and Ali Farhadi

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.548064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.120773Z digest=sha256:6ce11bac8a24fa6b15581886f593a35341f224c2432fa4e086a1cb3b6e3ba44b

Observation 7565048b-86e1-47e9-9edf-54f376c54851 · outbound

This paper cites Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.538581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.124042Z digest=sha256:303dd1054761008350154716f2a3656d32074a6e6de6e7bf5a40d7ffd8102d2e

Observation d8fdc16e-e3f1-42ed-8079-302c63022ec8 · outbound

This paper cites Pointr- cnn: 3d object proposal generation and detection from point cloud.2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 770–779, 2018.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Pointr- cnn: 3d object proposal generation and detection from point cloud.2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 770–779, 2018

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.528469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.127014Z digest=sha256:b28b3ae16d0e2fa13ab29409872ab223f83eda41575e2c1ef6cbceac2f6f7f3d

Observation abb7532e-1ba5-4e42-952b-2cb0c472c649 · outbound

This paper cites Pv-rcnn: Point-voxel feature set abstraction for 3d object detection.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Pv-rcnn: Point-voxel feature set abstraction for 3d object detection

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:07.129807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.129807Z digest=sha256:7e8f12b4bd65d86c844973fc1719e80b9f8c13bf1d3a48d868934aba25eabd83

Observation e160d901-4346-4467-af98-489e636e3a8a · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:07.132607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.132607Z digest=sha256:335f75f97d7121d75b834db3b5a3783f5ed3080e514085931ba77ed3fd9d97c0

Observation 700d2b3b-855e-413a-a22b-6bc4c22bacf5 · outbound

This paper cites an unresolved cited work.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:05:07.513243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.135935Z digest=sha256:65ed1365f5bdef8e4f9c00e8546fde63ffa20f6b9d48a9fb00f1ec1c5f3a93b3

Observation 32dfadfd-3532-45ce-b9ba-c73804779142 · outbound

This paper cites Openpcdet: An open- source toolbox for 3d object detection from point clouds.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Openpcdet: An open- source toolbox for 3d object detection from point clouds

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:07.138914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.138914Z digest=sha256:f1ec7af90b69021b35ad34c9e5879245695df83ce1993f17022b514538b6200b

Observation af632af2-e1c1-40fd-bcd7-ea17da1eb07c · outbound

This paper cites Fcos: Fully convolutional one-stage object detection.2019 IEEE/CVF International Conference on Computer Vision (ICCV), pages 9626–9635, 2019.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Fcos: Fully convolutional one-stage object detection.2019 IEEE/CVF International Conference on Computer Vision (ICCV), pages 9626–9635, 2019

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.497819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.141886Z digest=sha256:8498f14ce827373a6599fc8c32617c12ef71755330f291bedd89bd13f837b661

Observation 9d3df551-be79-4e7b-acfb-42e5c48db7be · outbound

This paper cites an unresolved cited work.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:05:07.487988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.144920Z digest=sha256:68fe7ce80218895838932cea27a78f261eddd17bc237721a3ccdbd1f5a2edd4d

Observation 58c8ffbd-a6c2-497a-988e-0d5f89d03046 · outbound

This paper cites Lang, Bassam Helou, and Oscar Bei- jbom.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Lang, Bassam Helou, and Oscar Bei- jbom

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.477764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.149185Z digest=sha256:a1b80e3ce142f48cde20ce1f8c5718490ba6b8b1876d70d277bbbf586a1b5c6b

Observation 5de5a86f-3930-4a53-a633-b1a47a706c6d · outbound

This paper cites Pointaugmenting: Cross-modal augmentation for 3d object detection.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Pointaugmenting: Cross-modal augmentation for 3d object detection

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.466498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.152142Z digest=sha256:95157f3f1a63bfe64e4144f32cc52e905b4f48d0ce34d19ea2dd4385ddd07c3f

Observation d0d316c7-a548-4818-8d38-b2cf405e750a · outbound

This paper cites You only learn one representation: Unified network for multiple tasks.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software You only learn one representation: Unified network for multiple tasks

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.455677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.155026Z digest=sha256:ec1e01802f46f403c0a1d1f132bced11ba04167322ac928f65057504f485b2f8

Observation def4ab2c-00ff-48a8-9926-b18f86537d45 · outbound

This paper cites YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:07.158476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.158476Z digest=sha256:f3a170b198274335186c8000452e0576ebba81099cc5b0c6d9788fcece212d27

Observation dd5d40b4-d3c5-4662-9207-3352e6dccf4a · outbound

This paper cites Exploring object-centric temporal modeling for efficient multi-view 3d object detection.2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 3598–3608, 2023.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Exploring object-centric temporal modeling for efficient multi-view 3d object detection.2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 3598–3608, 2023

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.445543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.161744Z digest=sha256:cb737ef2e341cfb430b2045cd37bfc0710dccf4067e98d762164e8666e4e920b

Observation 2e89c953-9f32-4f32-9ae9-b5c6c70a6648 · outbound

This paper cites Second: Sparsely embed- ded convolutional detection.Sensors (Basel, Switzerland), 18, 2018.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Second: Sparsely embed- ded convolutional detection.Sensors (Basel, Switzerland), 18, 2018

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.435482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.164656Z digest=sha256:3c1ae8120b166b7923d4067fed941bc0b863cefac2d1d0e3fbac6a23488c0588

Observation 9ff5973e-0224-40e5-9fa0-ba04ac548ef9 · outbound

This paper cites Pixor: Real- time 3d object detection from point clouds.2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 7652–7660, 2018.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Pixor: Real- time 3d object detection from point clouds.2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 7652–7660, 2018

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:07.167560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.167560Z digest=sha256:d9e72e74b7f87be8e8bc245c37f172c0bbce6445e8ef8000ffb7cd137f079536

Observation 05198494-e94f-4736-a605-706e906d6146 · outbound

This paper cites BEVFormer v2: Adapt- ing Modern Image Backbones to Bird’s-Eye-View Recogni- tion via Perspective Supervision.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software BEVFormer v2: Adapt- ing Modern Image Backbones to Bird’s-Eye-View Recogni- tion via Perspective Supervision

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.418833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.170649Z digest=sha256:7d3d5b02cf9de401aa8e0bed81c95b8aca2b62a0faf977abcca9d33f366dfbc7

Observation 737e5d46-d528-4c5d-8cfd-4afce431dc01 · outbound

This paper cites 3dssd: Point-based 3d single stage object detector.2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 11037–11045, 2020.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software 3dssd: Point-based 3d single stage object detector.2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 11037–11045, 2020

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:07.173970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.173970Z digest=sha256:1003a21bd57d47328f4cf9b25c2bd8f79906f8975e20a7be652baf8508b46f16

Observation 46f8bb23-8713-4131-9c98-ed4b43633463 · outbound

This paper cites Center- based 3d object detection and tracking.CVPR, 2021.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Center- based 3d object detection and tracking.CVPR, 2021

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.402489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.176827Z digest=sha256:916c7a450ee4990917e84f5664bea20bfcda978d1fb1d49a84f82d8ea3438286

Observation fc84e160-9782-449f-a4e9-cc36bb5983d3 · outbound

This paper cites BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:07.179801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.179801Z digest=sha256:20b9aa15b50a09270a4490577cfc273d5d8a803a775d94c18b25dc770ec030ff

Observation 1cac00e7-f51e-435f-96b9-19be63b8cd7b · outbound

This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection.2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 4490–4499, 2017.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software V oxelnet: End-to-end learning for point cloud based 3d object detection.2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 4490–4499, 2017

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.392590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.184932Z digest=sha256:a49fdc46946804d406efb79b4cd90cec9b206545d903e38ed154b650d62e18d0

Observation eff09f0e-110d-4e48-8dc1-59d1f8a9b71c · outbound

This paper cites autoware ml/.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software autoware ml/

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:05:07.382548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:05:07.188038Z digest=sha256:5325ec6d17ff8d9e36d83796354f995d2415b47bff1a4fa5ae24f044258e0c7e

Pith citing papers

No inbound Pith citation observations are available.