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Lane detection is one of fundamental but critical problems for lane following system of intelligent vehicles. However, a robust and cost effective approach is still a deserve exploit issue. A novel and effective approach using a five steps scheme is presents. First, Canny detector is used to obtain edge map from the road image acquired from monocular camera mount on vehicle; Second, a matching process...
Most approaches to vehicle tracking have adopted a single calibrated camera for the task, which leads to an under-conditioned problem. We present a surveillance system for on-line vehicle tracking based on two cameras and structure from motion (SfM). Our surveillance system starts by tracking feature points. A novel matching scheme is proposed that allows a subset of feature points to be corresponded...
This study uses two low-cost and compact CMOS cameras to construct an asynchronous binocular system and proposes an effective real-time front-vehicle detection algorithm with the binocular system. The proposed vehicle detection algorithm uses the edge information to detect the region of each front vehicle, and then computes the disparities of the front vehicles by an adaptive search method. According...
We address the problem of determining the path of a vehicle on a given vector map of roads, based on tracking data such as that obtained from onboard GPS receivers. We describe a method that is based on a piecewise matching of track segments to map features. A notable feature of our method is that it is applicable to a large class of existing methods. We discuss metrics for evaluating the output of...
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