Title :
Two kinds of sensor data fusion in target tracking
Author :
Dai, Yaping ; Chen, Jie ; Liu, Xiaodong
Author_Institution :
Dept. of Autom. Control, Beijing Inst. of Technol., China
Abstract :
Describes an algorithm for fusion of tracks created by two kinds of sensor (radar and IR), these measurement data are obtained with different dimensions and different sample rates. By means of the time matching technique, two asynchronous data are fused and then the filter is updated according to the fused information. The rotation Kalman filter algorithm for data fusion is discussed; this approach can effectively solve the problem of nonlinear measurement and reduce the load of calculation
Keywords :
Kalman filters; filtering theory; sensor fusion; state estimation; target tracking; asynchronous data; rotation Kalman filter algorithm; sensor data fusion; target tracking; time matching technique; Information filtering; Information filters; Infrared sensors; Matched filters; Radar measurements; Radar tracking; Rotation measurement; Sensor fusion; Sensor phenomena and characterization; Target tracking;
Conference_Titel :
SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers
Conference_Location :
Nagoya
Print_ISBN :
0-7803-7306-5
DOI :
10.1109/SICE.2001.977838
