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The goal of this work is the development of a low-cost driver assistance system that runs on an ordinary smartphone. It uses computer vision techniques and multiple-resolution template matching to detect speed limit signs and alert the driver if the speed limit is exceeded. It inputs an image of the sign to be detected and creates a set of multiple-resolution templates. It also inputs photographs...
Automated Number Plate Recognition (ANPR) has become essential part of traffic control system because of unconstrained increased of vehicles on roads which make it difficult to control. On or after analysis of diverse author's exertion, ANPR has six imperative parts like Image Acquisition, Pre-processing, edge detection, segmentation, feature extraction and recognition. Characters recognition is turn...
Driving support systems aid in improving the road safety. There are various safety measures on the road like traffic signals, sign boards and humps to avoid possible accidents. This paper presented for road safety has two phases: The first phase includes, the development of an algorithm to detect hump from a single image captured from the camera fixed at low height to the moving vehicle. In the second...
A vehicle detection system is realized in two stages: hypothesis generation (HG) and hypothesis verification (HV). HG adopts frame division and shadow detection to find possible candidates of vehicles within a plausible region of the image frame. Then, during HV, object ratio constraint is first used to eliminate unreasonable hypotheses. Afterward, based on the training results of the support vector...
This paper presents a rapid edge detection method for vehicle using the two-dimensional cellular neural network (CNN). In the method, two adaptive templates for edge detection are experimentally designed, and background noise elimination is also concerned. Finally, the performance of the proposed CNN detector is evaluated on different vehicle images, and it is also compared with some other edge detectors...
Lane detection is an important aspect of intelligent transportation systems. In this study, we propose a fast real-time lane-detection algorithm based on an automated multi-segment lane-switch scheme which is integrated with the traditional Random Sample Consensus algorithm to improve the performance of the algorithm. To conduct our experiments, we used videos captured from urban roads and highways...
While a vehicle driving in the street below tall buildings or viaduct, GPS receiver may receive the satellite reflected signals or may not receive satellite signals. That will cause serious positioning errors. This is called as multipath transmission error of global satellite positioning system in the metropolitan area of a city. With using the driving-view image fetched from the video of vehicle...
Vehicles are generally identified by their license plates. Locating the exact area containing the license plate is an important step in any license plate recognition system. This work describes an Edge Density Based approach for locating the single/multiple license plates present in the captured frame. The proposed approach is divided into two stages: Pre-processing and Exact detection. Pre-processing...
License plate recognition (LPR) plays a significant role throughout this busy world, owing to the rise in vehicles day by day. Stealing of vehicles, breaking traffic rules, coming into restricted space also are increasing linearly, thus to dam this act registration code recognition is intended. Among the fundamental process steps such as detection of number plate, segmentation of characters and recognition...
License plate recognition (LPR) plays a major role in this busy world, as the number of vehicles increases day by day, theft of vehicles, breaking traffic rules, entering restricted area are also increases linearly, so to block this act license plate recognition system is designed. License Plate Recognition systems basically consist of 3 main processing steps such as: Detection of number plate, Segmentation...
The incidence of traffic accidents during nighttime is higher than daytime; hence the clues from nighttime images are urgently needed. However, the light source from a camera works only for certain distance, resulting in the defect of underexposure. In this paper, we present a high dynamic range imaging method for vehicle images under a nighttime environment. The idea consists of three steps based...
In a HD traffic bayonet, HD camera captures a few images once the vehicles drive cross the underground sensing coils. Time interval between two adjacent images is usually uncertain. In this paper, a background modeling and foreground extraction scheme is proposed for these images captured in the bayonet. The proposed scheme contains three modules: initial background modeling, foreground extraction...
Obstacle detection is a fundamental task for Advanced Driver Assistance Systems (ADAS) and Self-driving cars. Several commercial systems like Adaptive Cruise Controls and Collision Warning Systems depend on them to notify the driver about a risky situation. Several approaches have been presented in the literature in the last years. However, most of them are limited to specific scenarios and restricted...
Controlling multiple devices while driving steals drivers' attention from the road and is becoming the cause of accidents in 1 out of 3 cases. Many research efforts are being dedicated to design, manufacture and test Human-Machine Interfaces that allow operating car devices without distracting the drivers' attention. A complete system for controlling the infotainment equipment through hand gestures...
Lane detection plays an important role in intelligent vehicle systems. Therefore, this paper presents a robust road lane marker detection algorithm to detect the left and right lane markers. The algorithm consists of optimization of Canny edge detection and Hough Transform. The system captures images from a front viewing vision sensor placed facing the road behind the windscreen as input. Then a series...
We are concerned with the problem of detecting an overtaking vehicle using a single camera mounted behind the ego-vehicle windscreen. The proposed solution makes use of 1D optical flow evaluated along lines parallel to the motion of the overtaking vehicles. The 1D optical flow is computed by tracking features along these lines. Based on these features, the position of the overtaking vehicle can also...
This paper proposes a novel on-road vehicle detection algorithm for Advanced Driver Assistance Systems. The proposed algorithm uses shadow and edge information of original image to generate the candidate vehicles. The proposed algorithm extracts the shadow region darker than the road, and creates an edge image using the Canny edge detector. It performs AND operation between the shadow image and the...
With the development of the automotive industry, the intelligent vehicle technology is being developed. As the development of the automotive technology, the proportion of electrical and electronic system will be expanded to more than 50%. Particularly, LDWS (Lane Departure Warning System) technique is actively developing to generate a warning signal if the lane is separated. In this paper, we apply...
The ability to classify a vehicle is of extreme importance for both civilian and non-civilian applications. For non-civilian applications the state-of-the-art leaves much to be desired, as hierarchal and real-time classification have yet to be truly investigated. This paper provides a survey of the current state-of-the-art in vehicle classification and provides recommendations for future research...
The proper identification of the traffic signs can ensure driving safety and can play a very important role in reducing the number of road accidents significantly. This paper represents a uniform way to detect the speed limit traffic signs and to confirm it by recognizing the sign's speed number. In this system, firstly the red color objects are segmented from an image using LVQ. Secondly, detected...
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