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- W2076388467 abstract "In this paper, we propose a method for preceding vehicle detection and tracking with motion estimation by radar-vision sensor fusion. The motion estimation proposed results in not only correction of inaccurate lateral position error observed on a radar target, but also adaptive detection and tracking of a preceding vehicle by compensating the changes in the geometric relation between the ego-vehicle and the ground due to the driving. Furthermore, the feature-based motion estimation employed to lessen computational burden reduces the number of deployment of the vehicle validation procedure. Experimental results prove that the correction by the proposed motion estimation improves the performance of the vehicle detection and makes the tracking accurate with high temporal consistency under various road conditions." @default.
- W2076388467 created "2016-06-24" @default.
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- W2076388467 date "2012-12-25" @default.
- W2076388467 modified "2023-09-22" @default.
- W2076388467 title "Preceding Vehicle Detection and Tracking with Motion Estimation by Radar-vision Sensor Fusion" @default.
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- W2076388467 doi "https://doi.org/10.5573/ieek.2012.49.12.265" @default.
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