mlsanityData to 7 Oct 2026

End-to-end Learning of Multi-sensor 3D Tracking by Detection

arXiv 1806.11534 ↗First posted 29 Jun 2018cs.CV cs.LG cs.ROcited by 25

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Abstract (arXiv)

In this paper we propose a novel approach to tracking by detection that can exploit both cameras as well as LIDAR data to produce very accurate 3D trajectories. Towards this goal, we formulate the problem as a linear program that can be solved exactly, and learn convolutional networks for detection as well as matching in an end-to-end manner. We evaluate our model in the challenging KITTI dataset and show very competitive results.

Key facts. Cited by 25 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Jun 2018.

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Citing papers per year: 2021: 10; 2022: 10; 2023: 3; 2024: 2.

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  1. 2022Global Tracking Transformerscited by 110
  2. 2021Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attackscited by 101
  3. 2021EagerMOT: 3D Multi-Object Tracking via Sensor Fusioncited by 83
  4. 2021Monocular Quasi-Dense 3D Object Trackingcited by 80
  5. 20214D Panoptic LiDAR Segmentationcited by 64
  6. 2021Semantics for Robotic Mapping, Perception and Interaction: A Surveycited by 56
  7. 20213D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloudcited by 45
  8. 2022DeepFusionMOT: A 3D Multi-Object Tracking Framework Based on Camera-LiDAR Fusion with Deep Associationcited by 33
  9. 2022PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?cited by 29
  10. 2022Forecasting from LiDAR via Future Object Detectioncited by 28
  11. 20223D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attentioncited by 27
  12. 2021Joint Multi-Object Detection and Tracking with Camera-LiDAR Fusion for Autonomous Drivingcited by 26
13 more
  1. 2022SoK: On the Semantic AI Security in Autonomous Drivingcited by 22
  2. 2021TrackMPNN: A Message Passing Graph Neural Architecture for Multi-Object Trackingcited by 21
  3. 2021Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Pathscited by 19
  4. 2022Learning of Global Objective for Network Flow in Multi-Object Trackingcited by 11
  5. 2022Multi-Object Tracking and Segmentation via Neural Message Passingcited by 9
  6. 2024PNAS-MOT: Multi-Modal Object Tracking with Pareto Neural Architecture Searchcited by 9
  7. 2022Sequential Point Clouds: A Surveycited by 5
  8. 2022Interactive Multi-scale Fusion of 2D and 3D Features for Multi-object Trackingcited by 4
  9. 2023Privacy-preserving Pedestrian Tracking using Distributed 3D LiDARscited by 3
  10. 2024Navigating Threats: A Survey of Physical Adversarial Attacks on LiDAR Perception Systems in Autonomous Vehiclescited by 3
  11. 2023A survey on deep learning approaches for data integration in autonomous driving systemcited by 1
  12. 2021A Pedestrian Detection and Tracking Framework for Autonomous Cars: Efficient Fusion of Camera and LiDAR Datacited by 0
  13. 2023GOOD: General Optimization-based Fusion for 3D Object Detection via LiDAR-Camera Object Candidatescited by 0