DDDAMS-based Urban Surveillance and Crowd Control via UAVs and UGVs
- Magazine Article
- 20AERP06_07
- English
Air Force Research Laboratory, Arlington, Virginia
The illustration shows an overview of the proposed DDDAMS-based planning and control framework for surveillance and crowd control via UAVs and UGVs that was developed and refined in this project. The major components of the framework include: 1) real system (UAVs, UGVs, human crowd, and environment); 2) integrated planner; 3) integrated controller; and 4) decision module for DDDAMS. The proposed frame work was aimed to enhance the surveillance and crowd control capability of UAVs and UGVs in terms of their performance on crowd detection, tracking, and motion planning. In particular, the crowd coverage percentage was considered as the measure of effectiveness (MOE) in this work. An overview of different components is provided in the following paragraphs.