Bi-Risk-RRT Based Efficient Motion Planning for Autonomous Ground Vehicles-Reference-Cited by-同舟云学术

Bi-Risk-RRT Based Efficient Motion Planning for Autonomous Ground Vehicles

Published:2022-09 Issue:3 Volume:7 Page:722-733
ISSN:2379-8904
Container-title:IEEE Transactions on Intelligent Vehicles
language:
Short-container-title:IEEE Trans. Intell. Veh.

Author:

Ma Han¹^ORCID,Meng Fei¹^ORCID,Ye Chengwei¹,Wang Jiankun²^ORCID,Meng Max Q.-H.²^ORCID

Affiliation:

1. Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China

2. Shenzhen Key Laboratory of Robotics Perception and Intelligence, and the Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/7274857/9927386/09718167.pdf?arnumber=9718167

Reference36 articles.

1. Conditional Generative Adversarial Networks for Optimal Path Planning

2. Learning Implicit Sampling Distributions for Motion Planning

3. Learning Sampling Distributions for Robot Motion Planning

4. Optimal Path Planning Using Generalized Voronoi Graph and Multiple Potential Functions

5. Kinodynamic RRT*: Asymptotically optimal motion planning for robots with linear dynamics

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bi-HS-RRT$$^\text {X}$$: an efficient sampling-based motion planning algorithm for unknown dynamic environments;Complex & Intelligent Systems;2024-07-20

2. Dynamic Informed Bias RRT*-Connect: Improving Heuristic Guidance by Dynamic Informed Bias Using Hybrid Dual Trees Search;Journal of Intelligent & Robotic Systems;2024-07-18

3. A review of recent advances, techniques, and control algorithms for automated guided vehicle systems;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2024-06-02

4. Robotic Manipulator in Dynamic Environment with SAC Combing Attention Mechanism and LSTM;Electronics;2024-05-17

5. Multi-Risk-RRT: An Efficient Motion Planning Algorithm for Robotic Autonomous Luggage Trolley Collection at Airports;IEEE Transactions on Intelligent Vehicles;2024-02