Multi-agent Visibility-Based Target Tracking Game

2016 ◽  
pp. 271-284 ◽  
Author(s):  
Mengzhe Zhang ◽  
Sourabh Bhattacharya
Keyword(s):  
Target Tracking ◽  
Multi Agent

Multi-Agent Reinforcement Learning Aided Intelligent UAV Swarm for Target Tracking

2021 ◽  
pp. 1-1
Author(s):  
Zhaoyue Xia ◽  
Jun Du ◽  
Jingjing Wang ◽  
Chunxiao Jiang ◽  
Yong Ren ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Target Tracking ◽  
Uav Swarm ◽  
Multi Agent

Target tracking and obstacle avoidance for multi-agent networks with input constraints

2011 ◽  
Vol 8 (1) ◽  
pp. 46-53 ◽  
Author(s):  
Jing Yan ◽  
Guan Xin-Ping ◽  
Luo Xiao-Yuan ◽  
Tan Fu-Xiao
Keyword(s):  
Target Tracking ◽  
Obstacle Avoidance ◽  
Input Constraints ◽  
Multi Agent ◽  
Agent Networks

scholarly journals Persistent Multi-Agent Search and Tracking with Flight Endurance Constraints

Robotics ◽  
2018 ◽  
Vol 8 (1) ◽  
pp. 2 ◽  
Author(s):  
John Gainer Jr. ◽  
Jeremy Dawkins ◽  
Levi DeVries ◽  
Michael Kutzer
Keyword(s):  
Target Tracking ◽  
Autonomous Vehicles ◽  
Base Station ◽  
Search Performance ◽  
Battery Capacity ◽  
Coordination Algorithms ◽  
Multi Agent ◽  
High Level ◽  
Long Endurance ◽  
The Relationship

A large group of small, limited endurance autonomous vehicles working cooperatively may be more effective in target search and track operations when compared with a long endurance vehicle. For a persistent search and track task, a need exists for coordination algorithms that account for limited agent endurance. This paper presents a multi-agent persistent search and track algorithm incorporating endurance constraints in a high-level algorithm that deploys and recovers vehicles from a stationary base station. Agents are assigned to search, track, return, and deploy modes using on-board sensor and battery measurements. Simulations and experiments show the relationship between the number of agents, battery capacity, search performance, and target tracking performance. The measures used to quantify these relationships include spatiotemporal coverage, target tracking effectiveness, and the usage of available aircraft. Hardware experiments demonstrate the effectiveness of the approach.

TDOA-based adaptive sensing in multi-agent cooperative target tracking

2014 ◽  
Vol 98 ◽  
pp. 186-196 ◽  
Author(s):  
Jinwen Hu ◽  
Lihua Xie ◽  
Jun Xu ◽  
Zhao Xu
Keyword(s):  
Target Tracking ◽  
Adaptive Sensing ◽  
Multi Agent

Flocking algorithm with multi-target tracking for multi-agent systems

2010 ◽  
Vol 31 (9) ◽  
pp. 800-805 ◽  
Author(s):  
Xiaoyuan Luo ◽  
Shaobao Li ◽  
Xinping Guan
Keyword(s):  
Target Tracking ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Target Tracking ◽  
Multi Agent
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