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- W2097913109 abstract "It is important to assess street-parking vehicles causing traffic problems in urban cities, however, it is performed manually and at a high cost. It is a top priority for reducing costs, to develop a detection system of those vehicles. We introduce a panoramic street-image, combined with view- and range- images. Panoramic street-image possibly provides useful information for our daily life. We propose a detection method, using a laser-range finder and a line-scan camera. Two kinds of cluster analysis are applied to range points: one is for clustering points at each scan, and the other for clustering points over several scans, each cluster of range points meaning a vehicle. As a result of verification experiments in real roads, a detection rate of 90 % is reached. Based on the results of clustering range data, all vehicle images are extracted from the corresponding panoramic street view-image. The error in extraction was within two scans of the laser-range finder." @default.
- W2097913109 created "2016-06-24" @default.
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- W2097913109 date "2004-11-08" @default.
- W2097913109 modified "2023-09-25" @default.
- W2097913109 title "Extraction of vehicle image from panoramic street image" @default.
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- W2097913109 doi "https://doi.org/10.1109/ivs.2004.1336479" @default.
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