Hybrid A∗ Based Motion Planning for Autonomous Vehicles in Unstructured Environment-Reference-Cited by-同舟云学术

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Hybrid A∗ Based Motion Planning for Autonomous Vehicles in Unstructured Environment

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Tu Kangbin,Yang Shuaishuai,Zhang Hao,Wang Zhuping

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8682239/8702066/08702779.pdf?arnumber=8702779

Cited by 6 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. Comparative Analysis of Hybrid A* and RRT* Algorithms and Optimizing the RRT* Algorithm in Autonomous Maze Navigation;Transactions on Computer Science and Intelligent Systems Research;2024-08-12

2. Unified Safety-Critical Motion Planning for Connected Non-Holonomic Agents Using an Adaptive A* and Hybrid A* Integration;2024 21st International Conference on Ubiquitous Robots (UR);2024-06-24

3. Continuous Decision-Making in Lane Changing and Overtaking Maneuvers for Unmanned Vehicles: A Risk-Aware Reinforcement Learning Approach With Task Decomposition;IEEE Transactions on Intelligent Vehicles;2024-04

4. An Efficient and Smooth Path Planner Based on Hybrid A* Search and Frenet Frames;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

5. Improved Hybrid A-Star Algorithm for Path Planning in Autonomous Parking System Based on Multi-Stage Dynamic Optimization;International Journal of Automotive Technology;2023-03-18

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