Data fusion of radar and image measurements for multi-object tracking via Kalman filtering
Data fusion is an important issue for object tracking in autonomous systems such as robotics and surveillance. In this paper, we present a multiple-object tracking system whose design is based on multiple Kalman filters dealing with observations from two different kinds of physical sensors. Hardware...
| Main Authors: | , |
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| Format: | Journal Article |
| Published: |
Elsevier Inc
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/56423 |