Velocity Obstacle Based Strategy for Multi-agent Collision Avoidance of Unmanned Aerial Vehicles

被引:1
作者
Lombard, Alexandre [1 ]
Durand, Lilian [2 ]
Galland, Stephane [1 ]
机构
[1] Univ Bourgogne Franche Comte, UTBM, CIAD UMR 7533, Belfort, France
[2] Univ Bourgogne Franche Comte, UTBM, FISE Informat, Belfort, France
来源
2020 IEEE INTERNATIONAL CONFERENCE ON SENSING, COMMUNICATION AND NETWORKING (SECONWORKSHOPS) | 2020年
关键词
unmanned aerial vehicles; collision avoidance; multi-agent systems; ENVIRONMENTS;
D O I
10.1109/seconworkshops50264.2020.9149770
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Unmanned Aerials Vehicles (UAVs), most known as drones, recently gained a lot of interest in several domains of civil applications. With the number of operating drones expected to quickly rise in the next few years comes the need to develop efficient collision avoidance solutions. To ensure the applicability of the collision avoidance solutions, given the limitations of UAVs, they must rely on a reliable source of information, and must be computationally efficient. This paper aims at providing an implementation of the Velocity Obstacle collision avoidance method, based on the information transmitted by the other UAVs. Multi-agent based simulations using the simulation software AirSim and the multi-agent platform SARL are proposed to assess the validity of the proposed solution.
引用
收藏
页数:6
相关论文
共 18 条
[1]  
[Anonymous], 1999, P GAM DEV C
[2]  
Cichella V, 2015, IEEE DECIS CONTR P, P6779, DOI 10.1109/CDC.2015.7403287
[3]   Avoiding Moving Obstacles: the Forbidden Velocity Map [J].
Damas, Bruno ;
Santos-Victor, Jose .
2009 IEEE-RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, 2009, :4393-4398
[4]   Velocity Obstacle Approaches for Multi-Agent Collision Avoidance [J].
Douthwaite, James A. ;
Zhao, Shiyu ;
Mihaylova, Lyudmila S. .
UNMANNED SYSTEMS, 2019, 7 (01) :55-64
[5]   Motion planning in dynamic environments using velocity obstacles [J].
Fiorini, P ;
Shiller, Z .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 1998, 17 (07) :760-772
[6]   Dynamic motion planning for mobile robots using potential field method [J].
Ge, SS ;
Cui, YJ .
AUTONOMOUS ROBOTS, 2002, 13 (03) :207-222
[7]  
Helbing D., 1998, ARXIV PREPRINT CONDM
[8]  
Jenie Y. I., 2015, AIAA GUID NAV CONTR, P0592
[9]  
Lombard A., 2019, SARL AIRSIM INTERFAC
[10]  
Lombard A., 2019, 1 EUR FOR SARL US DE