Point Cloud based Motion State Estimation Method for Autonomous Driving-Reference-Cited by-同舟云学术

Point Cloud based Motion State Estimation Method for Autonomous Driving

Published:2023-09-04 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Advanced Mechatronic Systems (ICAMechS)
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Author:

Jiang Tao¹,Zhu Enzhi²,Wu Sidong³,Zhang Linshuai⁴,Gu Shuoxin⁵,Xu Lin⁶,Wang Qian²,Tang Xianggui²

Affiliation:

1. Chengdu University of Traditional Chinese Medicine Unmanned System Intelligent Perception Control Technology Engineering Laboratory of Sichuan Province, Chengdu University of Information Technology,School of Intelligent Medicine,Chengdu

2. Chengdu University of Information Technology,School of Automation,Chengdu

3. Chengdu University of Information Technology Unmanned System Intelligent Perception Control Technology Engineering Laboratory of Sichuan Province, Chengdu University of Information Technology,School of Automation,Chengdu

4. Chengdu University of Traditional Chinese Medicine School of Automation, Chengdu University of Information Technology International Joint Research Center of Robotics and Intelligence System of Sichuan Province,School of Intelligent Medicine,Chengdu

5. Chengdu University of Information Technology International Joint Research Center of Robotics and Intelligence System of Sichuan Province,School of Automation,Chengdu

6. Chengdu University of Traditional Chinese Medicine,School of Intelligent Medicine,Chengdu

Funder

National Natural Science Foundation of China

Engineering Laboratory

Chengdu Science and Technology Bureau

Chengdu University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10272721/10272696/10272913.pdf?arnumber=10272913

Reference21 articles.

1. Flowstep3d: Model unrolling for self-supervised scene flow estimation[C];kittenplon;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,2021

2. FLOT: Scene Flow on Point Clouds Guided by Optimal Transport

3. PointPWC-Net: Cost Volume on Point Clouds for (Self-)Supervised Scene Flow Estimation

4. SFGAN: Unsupervised Generative Adversarial Learning of 3D Scene Flow from the 3D Scene Self

5. LMNet: Real-time Multiclass Object Detection on CPU Using 3D LiDAR