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Omni-Directional Scanning Localization Method of a Mobile Robot Based on Ultrasonic Sensors.
Mu, Wei-Yi; Zhang, Guang-Peng; Huang, Yu-Mei; Yang, Xin-Gang; Liu, Hong-Yan; Yan, Wen.
  • Mu WY; Department of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China. weiyimu@yeah.net.
  • Zhang GP; Department of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China. gpzhang@xaut.edu.cn.
  • Huang YM; Department of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China. hymxaut@163.com.
  • Yang XG; Department of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China. yxingang@163.com.
  • Liu HY; Department of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China. hyliu@xaut.edu.cn.
  • Yan W; Department of Art and Design, Xi'an University of Technology, Xi'an 710048, China. yanwen@xaut.edu.cn.
Sensors (Basel) ; 16(12)2016 Dec 20.
Article en En | MEDLINE | ID: mdl-27999396
ABSTRACT
Improved ranging accuracy is obtained by the development of a novel ultrasonic sensor ranging algorithm, unlike the conventional ranging algorithm, which considers the divergence angle and the incidence angle of the ultrasonic sensor synchronously. An ultrasonic sensor scanning method is developed based on this algorithm for the recognition of an inclined plate and to obtain the localization of the ultrasonic sensor relative to the inclined plate reference frame. The ultrasonic sensor scanning method is then leveraged for the omni-directional localization of a mobile robot, where the ultrasonic sensors are installed on a mobile robot and follow the spin of the robot, the inclined plate is recognized and the position and posture of the robot are acquired with respect to the coordinate system of the inclined plate, realizing the localization of the robot. Finally, the localization method is implemented into an omni-directional scanning localization experiment with the independently researched and developed mobile robot. Localization accuracies of up to ±3.33 mm for the front, up to ±6.21 for the lateral and up to ±0.20° for the posture are obtained, verifying the correctness and effectiveness of the proposed localization method.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2016 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2016 Tipo del documento: Article