Route coordination of UAV fleet to track a ground moving target in search and lock (SAL) task over urban airspace

• المؤلفون الرئيسيون: Wu, Yu, Low, Kin Huat
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Aeronautical engineering; Drone; Low-Altitude Airspace; Search and Lock; Urban Environments; Swarm-Based Imitative Learning Optimization Algorithm; Distributed Asynchronous Decision-Making Approach
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/160614

Drone has become more and more popular in various civil applications due to the open of the low-altitude airspace and its easy operation. Unlike the common search and track task for the target, the new search and lock (SAL) task is focused on in this paper. In the SAL task, multiple drones first try...