Mixed local motion planning and tracking control framework for autonomous vehicles based on model predictive control-Reference-Cited by-同舟云学术

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Mixed local motion planning and tracking control framework for autonomous vehicles based on model predictive control

Published:2019-01-04 Issue:6 Volume:13 Page:950-959
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Yuan Kang¹²,Shu Hong¹,Huang Yanjun²,Zhang Yubiao²,Khajepour Amir²,Zhang Lin³^ORCID

Affiliation:

1. School of Automotive Engineering, Chongqing UniversityChongqing400044People's Republic of China

2. Department of Mechanical and Mechatronics EngineeringUniversity of WaterlooWaterlooCanadaN2L 3G1

3. State Key Laboratory of Automotive Simulation and ControlJilin UniversityChangchun130025People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2018.5387

Reference37 articles.

1. Junior: The Stanford entry in the Urban Challenge

2. Autonomous driving in urban environments: Boss and the Urban Challenge

3. Odin: Team VictorTango's entry in the DARPA Urban Challenge

4. Real-Time Motion Planning With Applications to Autonomous Urban Driving

5. Vibration mitigation for in-wheel switched reluctance motor driven electric vehicle with dynamic vibration absorbing structures

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