A Novel Direct Trajectory Planning Approach Based on Generative Adversarial Networks and Rapidly-Exploring Random Tree-Reference-Cited by-同舟云学术

A Novel Direct Trajectory Planning Approach Based on Generative Adversarial Networks and Rapidly-Exploring Random Tree

Author:

Zhao Cong¹^ORCID,Zhu Yifan¹^ORCID,Du Yuchuan¹^ORCID,Liao Feixiong²^ORCID,Chan Ching-Yao³^ORCID

Affiliation:

1. Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, China

2. Urban Planning Group, Eindhoven University of Technology, Eindhoven, AZ, The Netherlands

3. California PATH, University of California at Berkeley, Berkeley, CA, USA

Funder

Innovation Program of Shanghai Municipal Education Commission

China Postdoctoral Science Foundation

Scientific Research Program of Shanghai Municipal Science and Technology Commission

Shanghai Municipal Science and Technology Major Project

Shanghai Sailing Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference34 articles.

2. Practical search techniques in path planning for autonomous driving;dolgov;Ann Arbor,2008

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