中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Kalman filter for 3D motion estimation via Lagrange interpolation and numerical integration

文献类型:会议论文

作者Hou FL(侯菲莉); Zhu F(朱枫)
出版日期2004
会议名称IEEE International Conference on Robotics and Biomimetics (ROBIO 2004)
会议日期August 22-26, 2004
会议地点Shenyang, China
关键词3D motion estimation Kalman filter Lagrange interpolation numerical integration
页码693-699
中文摘要This paper presents a Kalman filter approach for 3D motion estimation of an object that undergoes arbitrary rotational and translational motion. Problem considered here is error propagation from image features to 3D motion estimation. To this end, we have derived a new set of equations for motion estimation: (1) Lagrange interpolation and numerical integration are introduced to construct the dynamic equation, which is adaptable to the kinematics process of diverse 3D motion. (2) An adaptively estimated fading factor is imported to restrain the filter divergence caused by the truncation errors. (3) As for the measurement model, linear measurement equations relating the estimated pose parameters and the true ones are derived by exploring the relationship between the feature locations and the object pose (position anti orientation) parameters. The proposed approach is suitable for real-time environment in terms of the following aspects: the structure of the filter is simplified by avoiding the need of EKF, the computational cost is much reduced by running six filters on the six motion parameters in parallel; the process to extract the feature points became much simplified due to the predicted information provided by the filter; time efficiency is increased because the sequence of image frames is allowed to be at unequal intervals. Simulation results and implement of it system for multimobile robots formation show the capacity of this algorithm.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者IEEE Robot & Automat Soc, IEEE HK RA CS Joint Chapter, Chinese Acad Sci, Shenyang Inst Automat, Chinese High tech Dev Program, Robot Soc Japan, Japan Soc Mech Engineers, Int Rescue Syst Inst, Shenyang Hunnan New Urban Area, Shenyang New & High tech Ind Dev Zone
会议录IEEE ROBIO 2004: Proceedings of the IEEE International Conference on Robotics and Biomimetics
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISBN号0-7803-8641-8
WOS记录号WOS:000234343000124
源URL[http://ir.sia.cn/handle/173321/7990]  
专题沈阳自动化研究所_光电信息技术研究室
推荐引用方式
GB/T 7714
Hou FL,Zhu F. Kalman filter for 3D motion estimation via Lagrange interpolation and numerical integration[C]. 见:IEEE International Conference on Robotics and Biomimetics (ROBIO 2004). Shenyang, China. August 22-26, 2004.

入库方式: OAI收割

来源:沈阳自动化研究所

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