A LiDAR-based approach to autonomous racing with model-free reinforcement learning
Author:
Affiliation:
1. Széchenyi István University,Győr,Hungary,H-9026
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10587320/10588370/10588613.pdf?arnumber=10588613
Reference26 articles.
1. Duckietown: An open, inexpensive and flexible platform for autonomy education and research
2. Stanley: The robot that won the DARPA Grand Challenge
3. Indy Autonomous Challenge - Autonomous Race Cars at the Handling Limits
4. F1tenth: An open-source evaluation environment for continuous control and reinforcement learning;O’Kelly
5. textscf1tenth: An open-source evaluation environment for continuous control and reinforcement learning;O’Kelly,2020
Cited by 2 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. Evaluation of Local Planner-Based Stanley Control in Autonomous RC Car Racing Series;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
2. Scalable Supervisory Architecture for Autonomous Race Cars;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
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