Search using multiple UAVs with flight time constraints

Persistent Vision - Based Search and Track Using Multiple UAVs

Unmanned aerial vehicles (UAVs) have attracted interest for their ability to carry out missions such as border patrol, urban traffic monitoring, persistent surveillance, and search and rescue operations. Most of these missions require the ability to detect and track objects of interest on or near the ground. In addition, most of the missions are inherently long-duration, requiring multiple UAVs...

Minimum - Energy Flight Paths for Uavs Using

Adaptive Evolutionary Search Algorithm with Obstacle Avoidance for Multiple Uavs

Unmanned air vehicles (UAVs) can be used for surveillance and searching, usually with a specified goal i.e. a given area to search or, person or object to find. In these cases, multiple UAVs can be more effective for searching than a single vehicle due to the greater area of coverage that they offer. This paper outlines a search methodology, based on evolutionary algorithms (EAs), which guides ...

Formation Flight of Multiple UAVs via Onboard Sensor Information Sharing

To monitor large areas or simultaneously measure multiple points, multiple unmanned aerial vehicles (UAVs) must be flown in formation. To perform such flights, sensor information generated by each UAV should be shared via communications. Although a variety of studies have focused on the algorithms for formation flight, these studies have mainly demonstrated the performance of formation flight u...

Near-obstacle flight with small UAVs∗

Autonomous flight in confined or cluttered environments such as houses or urban canyons requires high manoeuvrability, fast mapping from sensors to actuators and very limited overall system weight. Although flying animals are well capable of solving this problem, roboticists have difficulties at reproducing such capabilities. This paper describes why and how we took inspiration from flying inse...