We present and compare myopic with non-myopic algorithms for the sensor scheduling problem in 1-to-N multi-target tracking applications. A UAV, equipped with limited sensor resources is tasked to search and track multiple dispersed ground objects. In general, not all observations can be carried out simultaneously. Therefore, a scheduling algorithm that produces an observation sequence is required. We propose an object detection prediction model, which supports the scheduling algorithm in choosing observations with high expected utility.
Sensor Scheduling Strategies for 1-to-N Multi-Object Tracking
18.09.2022
1134098 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Scheduling algorithm for multi-sensor collaboration tracking and radiation control
British Library Online Contents | 2018
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