Fast and Optimal Trajectory Planning for Multiple Vehicles in a Nonconvex and Cluttered Environment: Benchmarks, Methodology, and Experiments-Reference-Cited by-同舟云学术

Fast and Optimal Trajectory Planning for Multiple Vehicles in a Nonconvex and Cluttered Environment: Benchmarks, Methodology, and Experiments

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Robotics and Automation (ICRA)
language:
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Author:

Ouyang Yakun¹,Li Bai¹,Zhang Youmin²,Acarman Tankut³,Guo Yuqing⁴,Zhang Tantan¹

Affiliation:

1. College of Mechanical and Vehicle Engineering, Hunan University,Changsha,China

2. Concordia Institute of Aerospace Design and Innovation, Concordia University,Department of Mechanical, Industrial and Aerospace Engineering,Montreal,Canada

3. Galatasaray University,Computer Engineering Department,Istanbul,Turkey

4. Tsinghua University,Department of Automation,Beijing,China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Natural Sciences and Engineering Research Council of Canada

Galatasaray University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9811522/9811357/09812126.pdf?arnumber=9812126

Reference33 articles.

1. CasADi: a software framework for nonlinear optimization and optimal control

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3. Minimum-time speed optimisation over a fixed path

4. Mixed integer programming for multi-vehicle path planning

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