10.25394/PGS.11336930.v1
Shulin Li
Shulin
Li
APPLYING MULTI AGENT SYSTEM TO TRACK UAV MOVEMENT
Purdue University Graduate School
2019
Multi agent system (MAS)
NetLogo2-D
Counter UAV Technology
UAV Tracking
Adaptive Agents and Intelligent Robotics
2019-12-11 13:41:42
Thesis
https://hammer.purdue.edu/articles/thesis/APPLYING_MULTI_AGENT_SYSTEM_TO_TRACK_UAV_MOVEMENT/11336930
The thesis
introduces an
innovative UAV detection system. The commercial UAV market is booming.
Meanwhile,
the risks and threats from improper UAV usages are also booming.
CUAS is to protect
the
public and facilities. The problem is a lack of an intelligent platform
which
can adapt many sensors for UAV detection. The hypothesis is that, the
system
can track the UAV’s movement by applying the multi-agent system (MAS) to
UAV route track. The experiment proves that the multi-agent
system benefits for the UAV track. <br>