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

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

Resolution: 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 2026-08-07T06:34:17.273281+00:00.

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

Resolution: 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 2026-08-07T06:34:17.273281+00:00.

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

Resolution: verified fuzzy; 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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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

Resolution: verified fuzzy; 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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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.

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 2026-08-07T06:34:17.273281+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-07T06:34:17.273281+00:00.

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: verified fuzzy; 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 2026-08-07T06:34:17.273281+00:00.

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

Resolution: verified fuzzy; 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 2026-08-07T06:34:17.273281+00:00.

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: verified fuzzy; 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 2026-08-07T06:34:17.273281+00:00.

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: unresolved; 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 2026-08-07T06:34:17.273281+00:00.

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.

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.

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 2026-08-07T06:34:17.273281+00:00.

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.

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 2026-08-07T06:34:17.273281+00:00.

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.

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.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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.

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.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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.

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 2026-08-07T06:34:17.273281+00:00.

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.

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 2026-08-07T06:34:17.273281+00:00.

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.

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 2026-08-07T06:34:17.273281+00:00.

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.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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.

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.

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 2026-08-07T06:34:17.273281+00:00.

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.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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.

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 2026-08-07T06:34:17.273281+00:00.

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.

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 2026-08-07T06:34:17.273281+00:00.

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.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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Outbound references

Pith citing papers