In this paper, the authors investigate the problem of detecting and counting motorcycles in real traffic flow with a single layer laser scanner. This work focuses on the use of simple signal processing techniques to achieve a good performance in real time. The reported results outperform state-of-the art results. First, the authors report a 99·2% correct classification rate on 16 min sequence for a three-vehicle class classification problem. Second, the authors achieve a 0·8% counting error rate on 2 h of real traffic.
Overhead LIDAR-based motorcycle counting
Transportation Letters ; 7 , 2 ; 114-117
2015-03-01
4 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Overhead LIDAR-based motorcycle counting
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