ICRA 2011 Paper Abstract

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Paper WeP113.3

O'Kane, Jason (University of South Carolina)

Decentralized Tracking of Indistinguishable Targets Using Low-Resolution Sensors

Scheduled for presentation during the Regular Sessions "Networked Robots" (WeP113), Wednesday, May 11, 2011, 14:10−14:25, Room 5I

2011 IEEE International Conference on Robotics and Automation, May 9-13, 2011, Shanghai International Conference Center, Shanghai, China

This information is tentative and subject to change. Compiled on December 8, 2019

Keywords Networked Robots, Autonomous Agents, Surveillance Systems

Abstract

This paper addresses the problem of using a distributed team of tracking robots to maintain proximity to a collection of unpredictably moving targets. Each tracker is equipped with short range communication hardware and a low resolution sensor that can detect the presence of targets, but not their precise locations, their identities, nor even the number of targets within the sensing range. We present methods for set-membership-based filtering that exploit specific structures in the information space for this problem. We also describe an active algorithm that allows the tracker team to follow the targets in a coordinated way, in spite of the incomplete information and intermittent communication links. A simulation of this algorithm shows that the passive filtering algorithm maintains an accurate representation of each tracker's knowledge, and that the active tracking algorithm is able to leverage this information to achieve accurate, robust target tracking.

 

 

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