DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles
Author:
Affiliation:
1. Department of Mechanical Engineering, Temple University, Philadelphia, PA, USA
Funder
National Science Foundation
Temple University
Army Research Laboratory
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Link
https://ieeexplore.ieee.org/ielam/8860/10214173/10089196-aam.pdf
Reference62 articles.
1. V-RVO: Decentralized Multi-Agent Collision Avoidance using Voronoi Diagrams and Reciprocal Velocity Obstacles
2. PEDSIM: Pedestrian crowd simulation;gloor,2016
3. Reciprocal n-Body Collision Avoidance
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