Estimating Relative Vehicle Motions in Traffic Scenes
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Estimating relative vehicle motions in traffic scenes.
Pattern Recognition, 35(6):1339-1353, 2002
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Abstract
Autonomous operation of a vehicle on a road calls for understanding of various events involving the motions of the vehicles in its vicinity. In this paper we show how a moving vehicle which is carrying a camera can estimate the relative motions of nearby vehicles. We show how to “smooth” the motion of the observing vehicle, i.e. to correct the image sequence so that transient motions (primarily rotations) resulting from bumps, etc. are removed and the sequence corresponds more closely to the sequence that would have been collected if the motion had been smooth. We also show how to detect the motions of nearby vehicles relative to the observing vehicle. We present results for several road image sequences which demonstrate the effectiveness of our approach.
Keywords
Co-authors
Bibtex Entry
@article{DuricGRR02a,
title = {Estimating relative vehicle motions in traffic scenes.},
author = {Zoran Duric and Roman Goldenberg and Ehud Rivlin and Azriel Rosenfeld},
year = {2002},
journal = {Pattern Recognition},
volume = {35},
number = {6},
pages = {1339-1353},
keywords = {Traffic; Vehicle motion; Image stabilization; Darboux motion; Rate of approach},
abstract = {Autonomous operation of a vehicle on a road calls for understanding of various events involving the motions of the vehicles in its vicinity. In this paper we show how a moving vehicle which is carrying a camera can estimate the relative motions of nearby vehicles. We show how to “smooth” the motion of the observing vehicle, i.e. to correct the image sequence so that transient motions (primarily rotations) resulting from bumps, etc. are removed and the sequence corresponds more closely to the sequence that would have been collected if the motion had been smooth. We also show how to detect the motions of nearby vehicles relative to the observing vehicle. We present results for several road image sequences which demonstrate the effectiveness of our approach.}
}