Although recent statistics demonstrate a decrease in pedestrian fatalities, the absolute number of accident related deaths is sufficiently high to justify research in the area of vulnerable road user protection. Research has shown that situation awareness, which requires a significant amount of context information, is critical to timely intervention. Altered pedestrian behavior, due to traffic regulation, requires context information. For example, crosswalk presence and location knowledge can be of importance in pedestrian crossing scenarios. Therefore this paper discusses the implementation of a crosswalk detection algorithm, using Fourier transformation, augmented bipolarity, inverse perspective mapping template matching and edge orientation ratios for classification.
Pedestrian crossing detecting as a part of an urban pedestrian safety system
2010 IEEE Intelligent Vehicles Symposium ; 840-844
2010-06-01
2056844 byte
Conference paper
Electronic Resource
English
Pedestrian Crossing Detecting As a Part of an Urban Pedestrian Safety System, pp. 840-844
British Library Conference Proceedings | 2010
|