標題: Calibration and On-line Data Selection of Multiple Optical Flow Sensors for Mobile Robot Localization
作者: Hu, Jwu-Sheng
Chang, Yung-Jung
Hsu, Yu-Lun
電控工程研究所
Institute of Electrical and Control Engineering
公開日期: 2008
摘要: This paper proposes a calibration method as well as a computational algorithm to integrate the data of multiple optical flow sensors for 2-dimensional trajectory measurement. Optical flow sensors offer a different kind of odometer as compared with the wheel encoder. Using multiple sensors, it is possible to reduce the effect of measurement uncertainties. Since all sensors are mounted on a rigid body, their measurement data must obey a certain relation. This relation is utilized in this paper and mathematical formulations are developed to realize the computation. It is shown that the calibration procedure can be cast as an optimization problem given measurement data. Further, the rigid-body relation is formulated as a null-space constraint using the calibrated parameters. During operation, unreliable sensor measurements can be removed by accessing the error distance to the null space. Experimental results are presented to support the proposed methods.
URI: http://hdl.handle.net/11536/3063
http://dx.doi.org/10.1109/IROS.2008.4650803
ISBN: 978-1-4244-2057-5
DOI: 10.1109/IROS.2008.4650803
期刊: 2008 IEEE/RSJ INTERNATIONAL CONFERENCE ON ROBOTS AND INTELLIGENT SYSTEMS, VOLS 1-3, CONFERENCE PROCEEDINGS
起始頁: 987
結束頁: 992
顯示於類別:會議論文


文件中的檔案:

  1. 000259998200155.pdf

若為 zip 檔案,請下載檔案解壓縮後,用瀏覽器開啟資料夾中的 index.html 瀏覽全文。