Kiyotaka Hirahara

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This paper proposes a novel notion of Epipolar Plane Range Image (EPRI). A line-scanning laser range sensor is mounted on the side of our data acquisition vehicle, repeating drawing horizontal scanning lines. Laminating the line range data along time axis, we can follow temporal continuity of horizontal cross section of the geometry seen from the scanner,(More)
Street-parking vehicles in urban areas are causing various traffic problems, however, have been counted manually in the traffic census, including counting error. We propose two auto-detection methods; one is based on an epipolar-plane image analysis, using a line-scan camera, and the other is based on three-dimensional restoration, using a scanning laser(More)
Street-parking vehicles cause many problems in urban traffic situation: blinds area, traffic congestions, and so on. Detection method of street-parking vehicles are proposed. The proposed method is based on epipolar-plane image (EPI) analysis. First, our proposed method detects edges in EPIs by applying Hough transformation. By computing depth variation(More)
It is important to assess street-parking vehicles causing traffic problems in urban areas. However, assessments are performed manually and at high cost. Developing a detection system of those vehicles is a top priority for reducing cost and avoiding human error. We propose a detection method using a laser-range finder and a line-scan camera. In the(More)
It is important to assess street-parking vehicles causing traffic problems in urban areas, however, it is performed manually and at high cost. It is a top priority for reducing cost, to develop a detection system of those vehicles. We propose a detection method using a laser-range finder and a line-scan camera. In the detection method, two kinds of cluster(More)
Vehicles parked on streets make traffic problems in urban areas worse. We propose a method to detect those street-parking vehicles, using epipolar plane images (EPIs) acquired by a line scan camera, for traffic census. Our method is based on calculating the distance between the vehicles and the camera from the slope of the feature paths in an EPI. The(More)
Overview Recent ITS(Intelligent Transport System) research is considered as representation of town activities, including simulation, onto virtual town, which might exist only in computers. Our purposes are (1) to realize virtual town with actual sensing results and (2) to visualize the virtual town. For these purposes, we are developing the followings: 1.(More)
It is important to assess street-parking vehicles causing traffic problems in urban areas, however, it is performed manually and at high cost. It is a top priority for reducing cost, to develop a detection system of those vehicles. We address a spatio-temporal volume and two types of slice surfaces from the volume, and introduce two-types of panoramic(More)