TY - JOUR
PY - 2015//
TI - Overhead LIDAR-based motorcycle counting
JO - Transportation letters
A1 - Subirats, Peggy
A1 - Dupuis, Yohan
SP - 114
EP - 117
VL - 7
IS - 2
N2 - 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.
KEYWORDS: Motorcycle counting, Classification, LIDAR, Road safety, Mobility