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Multi-radar data fusion for object tracking and shape estimation

delete1996-02-01
delete6
PRE
AI
L
Lorenzo Favalli
P
Paolo Gamba
T
Tommaso M. Gatti
A
A. Mecocci
DOI:10.1016/0165-1684(96)00020-5delete
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摘要

摘要

En 中文
Object trajectory tracking plays a significant role in real-time monitoring systems. This paper proposes a method to achieve higher accuracies in computing objects' trajectories and estimate their shape by suitably fusing multi-radar measurements. Since each sensor is affected by an error depending on its location and on the target-radar mutual position, an iterative procedure has been considered, in order to entirely exploit the accuracy of each radar. Results obtained by applying the proposed algorithm to simulated sequences of radar data are reported.
Keyword:
data fusion
object tracking
shape estimation
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期刊

Signal Processing 封面图
Signal Processing
IF:
3.6
论文数:
10.0K
被引数:
1.7W

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