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>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/11336930 |
| Date | 11 December 2019 |
| Creators | Shulin Li (8097878) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/APPLYING_MULTI_AGENT_SYSTEM_TO_TRACK_UAV_MOVEMENT/11336930 |
Page generated in 0.0019 seconds