两种传感器数据在目标跟踪中的融合

SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603) Pub Date : 2001-07-27 DOI:10.1109/SICE.2001.977838

Yaping Dai, Jie Chen, Xiaodong Liu

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引用次数: 6

摘要

介绍了一种融合两种传感器(雷达和红外)产生的航迹的算法，得到了不同尺寸和不同采样率的测量数据。采用时间匹配技术对两个异步数据进行融合，并根据融合后的信息更新滤波器。讨论了用于数据融合的旋转卡尔曼滤波算法;该方法有效地解决了测量的非线性问题，减少了计算量。

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Two kinds of sensor data fusion in target tracking

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.

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来源期刊

SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)

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