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Object Detection and Tracking Based on Lidar for Autonomous Vehicles on Highway Conditions
Technical Paper
2022-01-7103
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Multiple object detection and tracking are central aspects of modeling the environment of autonomous vehicles. Lidar is a necessary component in the autonomous driving system. Without Lidar sensors, we will most probably not see fully self-driving cars become a reality. Lidar sensing gives us high-resolution data by sending out thousands of laser signals. In advanced driver assistance systems or automated driving systems, 3-D point clouds from lidar scans are typically used to measure physical surfaces. Lidar is a powerful sensor that you can use in challenging environments where other sensors might prove inadequate. Lidar can provide a complete 360-degree view of a scene. This paper designs Lidar based multi-target detection and tracking system based on the traditional point cloud processing method including down-sampling, denoising, segmentation, and clustering objects. Based on the detections from Lidar, a multi-target tracking system is involved in this paper which can be used on Highway conditions. Finally, the Lidar-based detection and tracking system is tested on the vehicle equipped with Lidar sensors and the result shows that miss-detection rate and the lateral and longitudinal position and velocity tracking accuracy can satisfy the need for Adaptive Cruise Control (ACC), Navigation on Pilot (NOP) Auto Emergency Braking (AEB) or other application.
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Citation
Wu, Z., Zhu, Y., Lu, K., and Li, F., "Object Detection and Tracking Based on Lidar for Autonomous Vehicles on Highway Conditions," SAE Technical Paper 2022-01-7103, 2022, https://doi.org/10.4271/2022-01-7103.Also In
References
- Cueva , L.D.S. and Cordero , J. Advanced Driver Assistance System for the Drowsiness Detection Using Facial Landmarks 2020 15th Iberian Conference on Information Systems and Technologies (CISTI) 2020 1 4 10.23919/CISTI49556.2020.9140893
- Liu , J. , Sun , Q. , Fan , Z. , and Jia , Y. TOF Lidar Development in Autonomous Vehicle 2018 IEEE 3rd Optoelectronics Global Conference (OGC) 2018 185 190 10.1109/OGC.2018.8529992
- Kanatani , T. , Kume , H. , Taketomi , T. , Sato , T. et al. Detection of 3D Points on Moving Objects from Point Cloud Data for 3D Modeling of Outdoor Environments 2013 IEEE International Conference on Image Processing 2013 2163 2167 10.1109/ICIP.2013.6738446
- Marshall , M.R. et al. 3-D Object Tracking in Panoramic Video and LiDAR for Radiological Source–Object Attribution and Improved Source Detection IEEE Transactions on Nuclear Science 68 2 2021 189 202 10.1109/TNS.2020.3047646
- Amrouche , N. , Khenchaf , A. , and Berkani , D. Multiple Target Tracking Using Track before Detect Algorithm 2017 International Conference on Electromagnetics in Advanced Applications (ICEAA) 2017 692 695 10.1109/ICEAA.2017.8065341
- Niedfeldt , P.C. and Beard , R.W. Convergence and Complexity Analysis of Recursive-RANSAC: A New Multiple Target Tracking Algorithm IEEE Transactions on Automatic Control 61 2 2016 456 461 10.1109/TAC.2015.2437518
- Hou , W. , Li , D. , Xu , C. , Zhang , H. et al. An Advanced k Nearest Neighbor Classification Algorithm Based on KD-Tree 2018 IEEE International Conference of Safety Produce Informatization (IICSPI) 2018 902 905 10.1109/IICSPI.2018.8690508
- Matsuzaki , T. , Kameda , H. , Tsujimichi , S. , and Kosuge , K. Maneuvering Target Tracking Using Constant Velocity and Constant Angular Velocity Model SMC 2000 Conference Proceedings. 2000 IEEE International Conference on Systems, Man and Cybernetics. ‘Cybernetics Evolving to Systems, Humans, Organizations, and Their Complex Interactions’ 3230 3234 5 10.1109/ICSMC.2000.886501
- Uttara Kumari , M. , Koushik , A.S. , and Prasanna , D. An Improved Radar Target Tracking System Using Fusion Algorithm of Kalman and Particle Filters 2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE) 2018 2629 2633 10.1109/ICRIEECE44171.2018.9009181
- Uttara Kumari , M. , Koushik , A.S. , and Prasanna , D. An Improved Radar Target Tracking System Using Fusion Algorithm of Kalman and Particle Filters 2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE) 2018 2629 2633 10.1109/ICRIEECE44171.2018.9009181
- Wang , G. , Feng , C. , Tao , J. , Mo , R. et al. Research on Multi-Maneuvering Target Tracking JPDA Algorithm 2018 Chinese Control And Decision Conference (CCDC) 2018 3558 3561 10.1109/CCDC.2018.8407739
- Shopov , V.K. and Markova , V.D. Application of Hungarian Algorithm for Assignment Problem 2021 International Conference on Information Technologies (InfoTech) 2021 1 4 10.1109/InfoTech52438.2021.9548600
- Hyun , E. and Lee , J. Multi-Target Tracking Scheme Using a Track Management Table for Automotive Radar Systems 2016 17th International Radar Symposium (IRS) 2016 1 5 10.1109/IRS.2016.7497283
- Hu , T. , He , L. , Cao , T. , Zhang , H. et al. Autonomous Obstacle Detection and Avoidance of Lunar Landing Based on Active and Passive Sensors 2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC) 2021 391 395 10.1109/ISCSIC54682.2021.00076
- Ni , H. , Li , Z. , and Song , H. Moving Least Square Curve and Surface Fitting with Interpolation Conditions 2010 International Conference on Computer Application and System Modeling (ICCASM 2010) 2010 V13-300 V13-304 10.1109/ICCASM.2010.5622770
- Palmer , P. , Kittler , J. , and Petrou , M. Methods for Improving Line Parameter Accuracy in a Hough Transform Algorithm IEE Colloquium on Hough Transforms 1993 3/1 3/3