Visibility-Based Target-Tracking Game: Bounds and Tracking Strategies

Emadi, Hamid; Gao, Tianshuang; Bhattacharya, Sourabh

doi:10.1109/lra.2017.2714980

Cited by 6 publications

(1 citation statement)

References 22 publications

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“…To solve the above problems, a clustering-based method is more efficient. Hamid Emadi 17 proposed a method for target-tracking based on partitioning strategies, he divided the monitoring area into several regions and assigned the guard into these regions for monitoring. Once the intruder appeared, it was visible to at least one guard at all times.…”

Section: Introductionmentioning

confidence: 99%

Clustering-based task coordination to search and rescue teamwork of multiple agents

Shi

Zhang

Sun

et al. 2019

International Journal of Advanced Robotic Systems

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It is important to have reasonable task coordination and path planning in rescue operations after a large-scale urban disaster. Whereas, there are many problems which can hamper rescue operations, such as communication obstacles, collapsed buildings, and secondary disaster. This article proposes a novel approach named ISODATA-K to achieve the task coordination and execution with heterogeneous ad hoc multi-agent. Inspired by the clustering analysis, ISODATA-K method, which does not require any input and threshold parameters, assigns the rescue agents to every area of the damaged city adaptively and efficiently. When the rescue agents get respective task, the path planning is done by A* algorithm which costs little time to find the relatively short route. The results of experiments demonstrate that the proposed method allows satisfactory rescue operations.

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Section: Introductionmentioning

confidence: 99%