A MPC-BASED Mix function controller on path planning and path tracking of autonomous vehicles-Reference-Cited by-同舟云学术

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A MPC-BASED Mix function controller on path planning and path tracking of autonomous vehicles

Published:2024-05-24 Issue: Volume:32 Page:525-530
ISSN:
Container-title:2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI)
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Author:

Ma Ning¹,Kang Shun¹,Zhuang Hao¹,Ge Pinghai²,He Tao³,Cui Zhen⁴

Affiliation:

1. College of Mechanical and Electrical Engineering China University of Petroleum (East China),Qingdao,China

2. Automotive Design Institute Shandong Wuzheng Group Co., Ltd.,Rizhao,China

3. Group Headquarters Shandong Yida Energy Group Co., Ltd.,Rizhao,China

4. Automotive Design Institute Intelligence Integration & Numerical Innovation (Shan Dong) Technology Co., Ltd.,Rizhao,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10593799/10594004/10594060.pdf?arnumber=10594060

Reference14 articles.

1. Tuning of PID Track Followers for Autonomous Driving

2. Traffic Signs Identification by Deep Learning for Autonomous Driving

3. CANTrack: Enhancing automotive CAN bus security using intuitive encryption algorithms

4. Autonomous Cars: Research Results, Issues, and Future Challenges

5. A Potential Field-Based Model Predictive Path-Planning Controller for Autonomous Road Vehicles

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