Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning

• Published in: IEEE robotics and automation letters Vol. 6; no. 4; pp. 7262 - 7269
• Main Authors: Cai, Peide, Wang, Hengli, Huang, Huaiyang, Liu, Yuxuan, Liu, Ming
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.10.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Automobiles; Autonomous cars; autonomous racing; Computational modeling; Deep learning; imitation learning; Knowledge acquisition; Machine learning; model learning for control; Racing; Reinforcement learning; Robot control; Robots; Sensors; Task analysis; Training; uncertainty awareness

Autonomous car racing is a challenging task in the robotic control area. Traditional modular methods require accurate mapping, localization and planning, which makes them computationally inefficient and sensitive to environmental changes. Recently, deep-learning-based end-to-end systems have shown p...