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J4  2010, Vol. 44 Issue (1): 118-123    DOI: 10.3785/j.issn.1008-973X.2010.01.021
    
Hospitability map building and ground target tracking with UAV under unknown environments
XIE Bin, ZHANG Kai-shi, PAN Hua-dong, XIANG Zhi-yu
(Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China)
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Abstract  

Hospitability map was built based on D-S evidence theory for unmanned aerial vehicle (UAV) under unknown environments. A generic multi-sensor fusion algorithm for track maintenance with UAV based on the Bayesian nonlinear filtering method and the hospitability map was proposed. To be adaptive to the fact that significant time interval may arise between consecutive detections of the same target, the track prediction was achieved based on the Fokker-Planck-Kolmogorov equation and the hospitability map. Meanwhile,the possibility of not detecting object was taken into account to deal with the footprint effect in measurement updating. Simulation demonstrates the feasibility of the proposed algorithm, which effectively improve the accuracy of the target tracking under unknown environments.



Published: 26 February 2010
CLC:  TP 13  
Cite this article:

XIE Bin, ZHANG Kai-Dan, BO Hua-Dong, et al. Hospitability map building and ground target tracking with UAV under unknown environments. J4, 2010, 44(1): 118-123.

URL:

http://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2010.01.021     OR     http://www.zjujournals.com/eng/Y2010/V44/I1/118


未知环境中无人机适航地图构建与地面目标跟踪

提出一种无人机在未知环境中通过D-S证据理论构建目标适航地图,并结合适航地图和贝叶斯非线性滤波方法进行目标跟踪的算法.为解决观测间隔时间可能较长的问题,基于FPKE和适航地图来预测目标位置概率分布的时间演进;在量测更新时充分考虑无人机的观测视野,将未观测到目标应用于目标位置概率分布的量测更新.仿真结果表明,该算法能够有效提高无人机在未知环境中跟踪地面目标的准确性.

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