A research for tracking of wheeled robot with Wireless Sensor Networks

Wu Chengdong; Li Cuijuan; Zhang Yunzhou; Cheng Long; Wu Hao

doi:10.1109/ITAIC.2011.6030218

A research for tracking of wheeled robot with Wireless Sensor Networks

Wu Chengdong
, Li Cuijuan
, Zhang Yunzhou
, Cheng Long
, Wu Hao

Northeastern University China

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Abstract

An integrated navigation system of wheeled robot is proposed based on Wireless Sensor Networks and the traditional dead reckoning system, in order to realize complementary advantages between the relative measurement method and the absolute measurement method. Sigma Point Kalman filter algorithm is adopted for wheeled robots to track a given trajectory well. The extended Kalman filter (EKF) and Sigma Point Kalman filter (SPKF) are especially applied to simulate with the integrated navigation system in this paper. Simulation results show that SPKF performs well and the precision of the navigation system is improved.

Original language	English
Title of host publication	Proceedings of the 2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference, 20-22 August 2011, Chongqing, China
Editors	Pei Yan, Bing Xu
Place of Publication	U.S.
Publisher	IEEE
Pages	338-342
Number of pages	5
ISBN (Electronic)	9781424486250
ISBN (Print)	9781424486229
DOIs	https://doi.org/10.1109/ITAIC.2011.6030218
Publication status	Published - 2011
Externally published	Yes
Event	IEEE Joint International Information Technology and Artificial Intelligence Conference - China, Chongqing, China Duration: 20 Aug 2011 → 22 Aug 2011 Conference number: 6th

Conference

Conference	IEEE Joint International Information Technology and Artificial Intelligence Conference
Abbreviated title	ITAIC
Country/Territory	China
City	Chongqing
Period	20/08/11 → 22/08/11

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10.1109/ITAIC.2011.6030218

Cite this

Chengdong, W., Cuijuan, L., Yunzhou, Z., Long, C., & Hao, W. (2011). A research for tracking of wheeled robot with Wireless Sensor Networks. In P. Yan, & B. Xu (Eds.), Proceedings of the 2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference, 20-22 August 2011, Chongqing, China (pp. 338-342). IEEE. https://doi.org/10.1109/ITAIC.2011.6030218

@inproceedings{4fa769507aad49d68ffabf182e6cdbd3,

title = "A research for tracking of wheeled robot with Wireless Sensor Networks",

abstract = "An integrated navigation system of wheeled robot is proposed based on Wireless Sensor Networks and the traditional dead reckoning system, in order to realize complementary advantages between the relative measurement method and the absolute measurement method. Sigma Point Kalman filter algorithm is adopted for wheeled robots to track a given trajectory well. The extended Kalman filter (EKF) and Sigma Point Kalman filter (SPKF) are especially applied to simulate with the integrated navigation system in this paper. Simulation results show that SPKF performs well and the precision of the navigation system is improved.",

author = "Wu Chengdong and Li Cuijuan and Zhang Yunzhou and Cheng Long and Wu Hao",

year = "2011",

doi = "10.1109/ITAIC.2011.6030218",

language = "English",

isbn = "9781424486229",

pages = "338--342",

editor = "Pei Yan and Bing Xu",

booktitle = "Proceedings of the 2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference, 20-22 August 2011, Chongqing, China",

publisher = "IEEE",

note = "IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC ; Conference date: 20-08-2011 Through 22-08-2011",

}

Chengdong, W, Cuijuan, L, Yunzhou, Z, Long, C & Hao, W 2011, A research for tracking of wheeled robot with Wireless Sensor Networks. in P Yan & B Xu (eds), Proceedings of the 2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference, 20-22 August 2011, Chongqing, China. IEEE, U.S., pp. 338-342, IEEE Joint International Information Technology and Artificial Intelligence Conference, Chongqing, China, 20/08/11. https://doi.org/10.1109/ITAIC.2011.6030218

A research for tracking of wheeled robot with Wireless Sensor Networks. / Chengdong, Wu; Cuijuan, Li; Yunzhou, Zhang et al.
Proceedings of the 2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference, 20-22 August 2011, Chongqing, China. ed. / Pei Yan; Bing Xu. U.S.: IEEE, 2011. p. 338-342.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - A research for tracking of wheeled robot with Wireless Sensor Networks

AU - Chengdong, Wu

AU - Cuijuan, Li

AU - Yunzhou, Zhang

AU - Long, Cheng

AU - Hao, Wu

N1 - Conference code: 6th

PY - 2011

Y1 - 2011

N2 - An integrated navigation system of wheeled robot is proposed based on Wireless Sensor Networks and the traditional dead reckoning system, in order to realize complementary advantages between the relative measurement method and the absolute measurement method. Sigma Point Kalman filter algorithm is adopted for wheeled robots to track a given trajectory well. The extended Kalman filter (EKF) and Sigma Point Kalman filter (SPKF) are especially applied to simulate with the integrated navigation system in this paper. Simulation results show that SPKF performs well and the precision of the navigation system is improved.

AB - An integrated navigation system of wheeled robot is proposed based on Wireless Sensor Networks and the traditional dead reckoning system, in order to realize complementary advantages between the relative measurement method and the absolute measurement method. Sigma Point Kalman filter algorithm is adopted for wheeled robots to track a given trajectory well. The extended Kalman filter (EKF) and Sigma Point Kalman filter (SPKF) are especially applied to simulate with the integrated navigation system in this paper. Simulation results show that SPKF performs well and the precision of the navigation system is improved.

UR - https://go.openathens.net/redirector/westernsydney.edu.au?url=https://doi.org/10.1109/ITAIC.2011.6030218

U2 - 10.1109/ITAIC.2011.6030218

DO - 10.1109/ITAIC.2011.6030218

M3 - Conference Paper

SN - 9781424486229

SP - 338

EP - 342

BT - Proceedings of the 2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference, 20-22 August 2011, Chongqing, China

A2 - Yan, Pei

A2 - Xu, Bing

PB - IEEE

CY - U.S.

T2 - IEEE Joint International Information Technology and Artificial Intelligence Conference

Y2 - 20 August 2011 through 22 August 2011

ER -

A research for tracking of wheeled robot with Wireless Sensor Networks

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