THREE LINE SCANER IMAGERY AND ON-STREET PACKED VEHICLE DETECTION

In the study, we proposed new algorithm of stopped vehicle detection using Three Line Scanner Imagery or TLS briefly. A framework of our study consists of three stages: Pre-processing , Moving/Stopping Vehicle Discrimination and Parking/Signals Waiting Vehicle Classification respectively. The Pre-Processing Step is fundamental information preparation such as vehicle-likely regions etc from Forward/ Nadir images. In Stopped/ Moving Vehicle Detection algorithms, stopped vehicles are detected by grouping vehicle candidates and verifying candidates as detected stopped vehicle as 3d objects using the Stereoscopic measurement on forward/nadir TLS images while moving vehicles are extracted by using our new ‘expansion proceed’ method to generate moving vehicle candidate and validating candidates as detected vehicles using spatial-temporal techniques on forward/nadir TLS images. In our last algorithm, Parking/ Idling Vehicle Classification, on-street parked vehicle is detected by measuring the distance from the edge of the road to the side of stopped. Parked vehicle is agreed with this distance thresholding defined by a ground observation. The algorithm is typically useful in cities. Finally, the promising results are derived and listed.