期刊论文、会议论文

Yu, Wentao

英文

Chinese Control Conference

1934-1768

2017

6169-6174

36th Chinese Control Conference (CCC)

Chinese Control Conference

JUL 26-28, 2017

Dalian, PEOPLES R CHINA

[Yu, Wentao;Chen, Aibin] Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha 410004, Hunan, Peoples R China.^[Zhang, Xiaoyong] Cent S Univ, Sch Informat Sci & Engn, Changsha 410004, Hunan, Peoples R China.^[Lin, Kuo-chi] Univ Cent Florida, Dept Mech & Aerosp Engn, Orlando, FL 32816 USA.

Chinese Acad Sci, Acad Math & Syst Sci, China Soc Ind & Appl Math, Liaoning Assoc Automat, Shenyang Univ Chem Technol, Liaoning Univ Sci & Technol, Asian Control Assoc, IEEE Control Syst Soc, Inst Control Robot & Syst, Soc Instrument & Control Engineers, Chinese Assoc Automat, Tech Comm Control Theory, Syst Engn Soc China, Dalian Univ Technol

Liu, T Zhao, Q

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-9-8815-6393-4

10.23919/ChiCC.2017.8028338

National Nature Science FoundationNational Natural Science Foundation of China (NSFC) [61602529, 61672537, 61672539]; Planned Science and Technology Project of Hunan Province [603286580059]

本校为第一且通讯机构

Object tracking is a fundamental skill of mobile robotics. For a multi-robot system the object tracking accuracy of each robot is usually different because of the dynamic environment and the different sensing ability. The focus of cooperative object tracking is how to fuse different robots' observation to obtain more robust and accurate estimation of the object. This paper investigates this problem using an adaptive consensus based distributed particle filter algorithm. In this algorithm, each robot runs a particle filter to achieve local object tracking. Then a consensus algorithm which can e...