We study a novel sensing model which occurs in wildlife monitoring applications. The sensor can be approximated as a bearing-to-target sensor, but with several critical attributes that set it apart from those addressed in bearing-only tracking literature. We propose a measurement strategy that can guarantee reduction in uncertainty in competitive time, regardless of the problem instance. We provide theoretical analysis in the form of a competitive proof, numerical studies, and results from field trials which confirm the applicability of the algorithm.
Vander Hook, Joshua; Tokekar, Pratap.
Cautious Greedy Strategy for Bearing-based Active Localization: Technical Report.
Retrieved from the University of Minnesota Digital Conservancy,
Content distributed via the University of Minnesota's Digital Conservancy may be subject to additional license and use restrictions applied by the depositor.