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We apply a biologically inspired model of visual object recognition to the object translation invariant problem. Our model modifies that of Serre, Wolf, and Poggio. This biologically inspired model is hierarchical, formed after the division of the human visual system, which resembles the increasing size of the receptive field in the ventral stream that aid in invariant object recognition. As in this...
In this paper, a multi-sensor based perception network for vehicle driving assistance is described. The network could reconstruct the 3D real world from the data obtained by the sensors, recognize dangerous occasions in advance and give the driver a suggestion or warning to prevent from the accident. Vehicle driving assistance is a research area which requires high accuracy and precision. The purpose...
This paper presents a novel lane detection algorithm for automatic drive system. The algorithm chooses a common curved lane parameter model which can describe both straight and curved lanes. The most prominent contribution of this paper is: instead of using one single method to calculate all the parameters in the lane model, both the adaptive random Hough transformation (ARHT) and the Tabu Search...
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