TY - JOUR
T1 - DMVC-Tracker
T2 - Distributed Multi-Agent Trajectory Planning for Target Tracking Using Dynamic Buffered Voronoi and Inter-Visibility Cells
AU - Lee, Yunwoo
AU - Park, Jungwon
AU - Kim, H. Jin
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2025
Y1 - 2025
N2 - This letter presents a distributed trajectory planning method for multi-agent aerial tracking. The proposed method uses a Dynamic Buffered Voronoi Cell (DBVC) and a Dynamic Inter-Visibility Cell (DIVC) to formulate the distributed trajectory generation. Specifically, the DBVC and the DIVC are time-variant spaces that prevent mutual collisions and occlusions among agents, while enabling them to maintain suitable distances from the moving target. We combine the DBVC and the DIVC with an efficient Bernstein polynomial motion primitive-based tracking trajectory generation method, which has been refined into a less conservative approach than in our previous work. The proposed algorithm can compute each agent's trajectory within several milliseconds on an Intel i7 desktop. We validate the tracking performance in challenging scenarios, including environments with dozens of obstacles.
AB - This letter presents a distributed trajectory planning method for multi-agent aerial tracking. The proposed method uses a Dynamic Buffered Voronoi Cell (DBVC) and a Dynamic Inter-Visibility Cell (DIVC) to formulate the distributed trajectory generation. Specifically, the DBVC and the DIVC are time-variant spaces that prevent mutual collisions and occlusions among agents, while enabling them to maintain suitable distances from the moving target. We combine the DBVC and the DIVC with an efficient Bernstein polynomial motion primitive-based tracking trajectory generation method, which has been refined into a less conservative approach than in our previous work. The proposed algorithm can compute each agent's trajectory within several milliseconds on an Intel i7 desktop. We validate the tracking performance in challenging scenarios, including environments with dozens of obstacles.
KW - aerial tracking
KW - distributed robot systems
KW - Path planning for multiple mobile robots
UR - http://www.scopus.com/inward/record.url?scp=105002565080&partnerID=8YFLogxK
U2 - 10.1109/LRA.2025.3551255
DO - 10.1109/LRA.2025.3551255
M3 - Article
AN - SCOPUS:105002565080
SN - 2377-3766
VL - 10
SP - 4842
EP - 4849
JO - IEEE Robotics and Automation Letters
JF - IEEE Robotics and Automation Letters
IS - 5
ER -