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In this paper, we propose a multi-step algorithm based on a hyperbola-pair model for lane detection. We represent the lane markings on the road by a modified hyperbola-pair model, which contains two parts. The first one is a parallel straight line model, which is achieved by Hough transform. The second one is a hyperbola-pair line model, which is achieved by a searching strategy with the parameters...
This paper describes an approach for lane segmentation in traffic monitoring systems based on probability map extracted form vehicles movement information. In traffic monitoring system, the region that a vehicle passes through might belong to a certain lane. The more vehicles pass through a certain region, the more likely it belongs to a certain lane, and then we can get probability map of the lane...
Vital problems in transportation such as mobility and safety of transportation, especially in highways and road ways, are considered as very important nowadays. Road traffic monitoring aims at acquisition and analysis of traffic signs, such as presence and numbers of vehicles, and automatic driver warning systems developed mainly for localization and safety purposes. In the past some methods have...
ULTra is a system of autonomous vehicles operating on a segregated guideway. The existing navigation system requires the use of raised kerbs to assess the vehicles position within the guideway. A vision-based system has the potential to be more flexible by sensing markings on the ground. It could also assist future obstacle detection systems. This paper implements three well known lane detection approaches...
This paper reports the advancement of a research extension. The outcome is a device installed in a long-haul bus for daily operation. The incumbent system features the combination of lane departure warning (LDW) function and forward collision warning (FCW) function employing the support vector machine (SVM) as the classifier. LDW recognizes the environment as in daytime or in nighttime by detecting...
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