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For a Driving Assistance System dedicated to intersection safety, knowledge about the structure and position of the intersection is essential, and detecting the painted road signs can greatly improve this knowledge. This paper describes a method for detection, measurement and classification of painted road objects that are typically found in European intersections. The features of the painted objects...
Detection and classification of traffic signs is one of the most studied Advanced Driver Assistance Systems (ADAS) and some solutions are already installed in vehicles. Nevertheless these systems still have room for improvement in terms of speed and performance. When driving at high speed, warning systems require very fast processing of the video stream in order to lose as few frames as possible and...
The comprehension of dynamic objects in the environment is a major concern of prospective assistance systems. Among the relevant dynamic objects are not only road users, but also parts of the traffic infrastructure: Traffic lights switch between different light colors to manage traffic at intersections. We propose a camera-based approach to incorporate the visual information of traffic lights. Assistance...
Image acquisition is the elementary step on the way to a performing vision-based Driver Assistance System (DAS). Any visual information lost in the capturing process is irretrievably gone. Many application approaches do not consider any influence on the camera, but take the image data as is from the capturing device. This paper starts with an overview of the most relevant solutions of high dynamic...
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