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Intelligent airbag system can control its deploy time and force according to different types of occupant in different sitting position. The accurate detection of vehicle occupant is the precondition and plays an important role in such system. This paper presents a vision detection method using low-cost CMOS camera and pattern recognition algorithm for the classification of different occupant classes...
This paper presents an experimental evaluation of three different traffic sign detection approaches, which detect or localize various types of traffic signs from real-time videos. Specifically, the first approach exploits geometric features to identify traffic signs, while the other two are developed based on SVM (Support Vector Machine) and AdaBoost learning mechanisms. We describe each of the three...
This paper presents a monocular vision-based preceding vehicle detection system using Histogram of Oriented Gradient (HOG) based method and linear SVM classification. Our detection algorithm consists of three main components: HOG feature extraction, linear SVM classifier training and vehicles detection. Integral Image method is adopted to improve the HOG computational efficiency, and hard examples...
This paper presents a novel texture descriptor based on line-segment features for text detection in images and video sequences, which is applied to build a robust car license plate localization system. Unlike most of existing approaches which use low level features (color, edge) for text/non-text discrimination, our aim is to exploit more accurate perceptual information. A - scale and rotation invariant...
Traffic sign detection is important to a robotic vehicle that automatically drives on roads. In this paper, an efficient novel approach which is enlighten by the process of the human vision is proposed to achieve automatic traffic sign detection. The detection method combines bottom-up traffic sign saliency region with learning based top-down features of traffic sign guided search. The bottom-up stage...
A real-time monocular vision based rear vehicle and motorcycle detection and tracking approach is presented for lane change assistant (LCA). To achieve robustness and accuracy this work detects and tracks multiple vehicles and motorcycles on road by combining multiple cues. To achieve real-time multi-resolution technology is used to reduce computing complexity, and all algorithms have been implemented...
Traffic density and flow are important inputs for an intelligent transport system (ITS) to better manage traffic congestion. Presently, this is obtained through loop detectors (LD), traffic radars and surveillance cameras. However, installing loop detectors and traffic radars tends to be difficult and costly. Currently, a more popular way of circumventing this is to develop a sort of virtual loop...
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