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This paper presents an adaptable roadside vehicle detection and speed estimation system for various traffic conditions on urban roads based on tri-axial anisotropic magnetoresistive sensors and wireless sensor network. The system consists of one master node and two sensor nodes, which are placed along the roadsides and can measure the earth’s local magnetic field disturbance caused by passing vehicles...
Traffic information is important for drivers and the traffic monitoring center (TMC) to avoid traffic congestions. VANET based systems use probe vehicles (PVs) to sense and upload the traffic information. However, due to the uneven distribution of the PVs, only a small part of the real-time traffic data can be gathered. Also, it is not efficient to estimate the traffic conditions at TMC and then publish...
In this paper we propose a vehicle detection framework on low resolution aerial range data. Our system consists of three steps: data mapping, 2D vehicle detection and postprocessing. First, we map the range data into 2D grayscale images by using the depth information only. For this purpose we propose a novel local ground plane estimation method, and the estimated ground plane is further refined by...
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