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Visible Light Communication (VLC) is a fast-growing technology that provides free-space wireless communications using LEDs and photodiodes. As LED becomes common in automotive lighting, Vehicular VLC (V2LC) becomes a new and low-cost solution to implement vehicle-to-vehicle (V2V) communications, in order to support many new safety and infotainment applications. In this paper, we take an experimental...
The paper aims at providing an intelligent driver assistance system on mobile devices, which is mainly composed of the two parts - off road warning and distance warning of front vehicles. In this application, the paper proposes an efficient lane and front vehicles detection and tracking method which has been experiments on mobile phones. The method is proved to be efficient and practical even though...
Real-time road lane recognition and position estimation algorithm in small vehicle is generally limited by the amount of processing power available. The goal of this research is to develop a light-weight algorithm to recognize a pair of road lane markers using computer vision and to estimate the vehicle position relative to the lane markers. The road lane recognition algorithm uses inverse perspective...
Vehicle accidents are widespread these days. They cause loss of invaluable human lives as well as huge loss of property. An efficient accident avoidance system has been a great need since the invention of motor vehicles. We propose a vehicle accident warning system based on image processing techniques. It uses two criteria for enabling accident warning. These are driver drowsiness and front vehicle...
The intelligent transportation systems (ITS) aim to provide services to transport and traffic management and supply more information and safer to various users. The visual-based systems are the most popular solutions for ITS due to their highly maintainable, flexible, and intuitive features. This paper uses a background extraction algorithm to extract initial color backgrounds from surveillance video...
We propose a solution for efficiently transforming video data over a delay tolerant network. We extract and transport only relevant features from the video frame at a minimal computational cost using low cost COTS embedded environment.
Vehicle counting system has a wide range of applications, from visual surveillance to intelligent transportation. Due to the different lighting conditions during the day and night, there is not a unified method to capture vehicles. To address this problem, we present unified vehicle detection and counting algorithm based on a new multiple feature background models using morphology and color difference...
Of late, traffic sign detection and recognition are becoming very prevalent topic as it enhances drivers towards safety and alert them with precaution information. This study reports about processing time of the individual color detection and recognition of the partial occlusion traffic sign that have been previously implemented using HSV and RGB color ratio and ANN and PCA method respectively for...
This paper is dedicated to a license plate recognition (LPR) system for moving vehicles by using car video camera. The proposed LPR method mainly consists of preprocessing, plate location, and character segmentation & recognition. At irst, the possible regions of license plate are enhanced from the captured images through the proposed edge detection method and gradient-based binarization....
Understanding the status of the traffic signal at an intersection is crucial to many vehicle applications. For example, the information can be utilized to estimate the optimal speed for passing the intersection to increase the fuel efficiency, or to provide additional context information for predicting whether a vehicle would run the red light. In this paper, we propose a new real-time traffic light...
Image and video processing techniques are one of the commonly used methods for traffics monitoring. This paper investigates the image processing techniques based vehicles speed measurement issue using only a fixed single camera. Therefore, a geometrical calculation based method is proposed. Based on this method, first a moving vehicle is detected in a video background and then the vehicle speed is...
Lane detection is important in intelligent transportation systems. This paper presents a novel algorithm for vehicle motion trajectory and lane boundary detection that uses Gaussian mixture model-based background subtraction and active contours. The algorithm uses an adaptive GMM that can cope with sudden illumination changes for detecting moving vehicles (resulting in a road score map, RSmap), followed...
Several recent investigations attempt to classify vehicles into a small number (5–7) of colors. A significant complication arises, however; a large proportion of vehicles (>50%) are various shades of gray: white, black, silver, gray, and variations such as gun metal and pearly white. Distinguishing such shades of gray in vehicle body color from lighting changes is an unsolved problem. Furthermore,...
In complex urban traffic conditions, the accurate detection of vehicles is challenging to current vehicle detection methods. To achieve the precise vehicle detection in complex urban traffic conditions, we have proposed a vehicle detection method based on a deformable hybrid image template in this paper. Our method contains two steps: constructing our hybrid image template and its probability model,...
In complex urban traffic conditions, occlusion between vehicles is a common problem which is challenging to current vehicle detection methods. In this paper, we have proposed a vehicle detection method based on a part-based model which can deal with the occlusion problem. Our method includes two steps: constructing the part-based model and detecting vehicles from traffic images. In the first step,...
In task executing it is necessary to make decisions. Very often decisions depend on special conditions and circumstances. A decision support may be helpful if the best choice search is based on a multidimensional space of possibilities. In geospatial based applications positioning and localization are essential criteria for most ongoing decisions. Where are you and where do you want to go? The general...
This paper aims to present a new approach to detect traffic signs which is based on color segmentation using AdaBoost binary classifier and circular Hough Transform. The Adaboost classifier was trained to segment traffic signs images according to the desired color. A voting mechanism was invoked to establish a property curve for each of the candidates. SVM classifier was trained to classify the property...
With rapid development of intelligent transportation systems (ITS), video-based road monitoring systems become increasingly popular. Most video processing systems concerns the detection and monitoring of all road vehicles. Few research refers to non-social vehicle detection specially, although it is critical for urban traffic management. In this paper, we present a video-based taxi detection system...
This paper introduces a real-time method to extract vehicles in road environment, and mainly includes four parts as follows: firstly, using Double Level background learning method to obtain a stable background image and get a rough vehicle area. Secondly, using HSV color space and texture characteristics of SILTP mixed constraint method to suppress the influence of shadow. Thirdly, using Energy Density...
In this paper, a novel license plate detection method is proposed. There are three key steps in our method, i.e. image preprocessing, license plate detection and license plate confirmation. First, the noises are removed and the diversities of license plate forms are unified through image preprocessing. And then, the license plates are detected roughly by using the cascade AdaBoost classifier. Finally,...
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