Decision-making System based on Finite State Machine for Low-speed Autonomous Vehicles in the Park-Reference-Cited by-同舟云学术

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Decision-making System based on Finite State Machine for Low-speed Autonomous Vehicles in the Park

Published:2022-07-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)
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Author:

Hu Yufeng¹,Yan Lirong¹,Zhan Jun¹,Yan Fuwu¹,Yin Zhishuai¹,Peng Fuming¹,Wu Yibo²

Affiliation:

1. Wuhan University of Technology,Wuhan,China,430070

2. Tumxuk Xinguang Jingwei UAV Technology Co. Ltd,Tumxuk,China,843999

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9872150/9872152/09872208.pdf?arnumber=9872208

Reference11 articles.

1. Junior: The Stanford entry in the Urban Challenge

2. A perception-driven autonomous urban vehicle

3. Bézier curve based path planning for autonomous vehicle in urban environment;long;2010 IEEE Intelligent Vehicles Symposium IV,2010

4. Team Cornell's Skynet: Robust perception and planning in an urban environment

5. A Universal Control System for Self-Driving Car Towards Urban Challenges

Cited by 3 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. A Comparative Analysis of Deep Reinforcement Learning-Enabled Freeway Decision-Making for Automated Vehicles;IEEE Access;2024

2. Coconut: Typestates for Embedded Systems;Lecture Notes in Computer Science;2024

3. Human-Like Decision-Making of Autonomous Vehicles in Dynamic Traffic Scenarios;IEEE/CAA Journal of Automatica Sinica;2023-10

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