Model Predictive Path Planning Based on Artificial Potential Field and Its Application to Autonomous Lane Change
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9268194/9268195/09268380.pdf?arnumber=9268380
Cited by 10 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. Potential Field-Based Path Planning with Interactive Speed Optimization for Autonomous Vehicles;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16
2. Safe Artificial Potential Field - Novel Local Path Planning Algorithm Maintaining Safe Distance From Obstacles;IEEE Robotics and Automation Letters;2023-08
3. Time-to-Collision-Aware Lane-Change Strategy Based on Potential Field and Cubic Polynomial for Autonomous Vehicles;2023 IEEE Intelligent Vehicles Symposium (IV);2023-06-04
4. Optimal Control-Based Highway Pilot Motion Planner With Stochastic Traffic Consideration;IEEE Intelligent Transportation Systems Magazine;2023-01
5. Real-time Dynamic Trajectory Planning for Intelligent Vehicles Based on Quintic Polynomial;2022 IEEE 21st International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS);2022-12
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