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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...
This paper presents a new method for the vehicle license plate and the frontal mask localization. The proposed license plate localization initializes candidate regions based on maximally stable extremal regions (MSERs). Then, the candidate regions are categorized into three classes of license plate character components, plate background components and the other components by using intensity, size,...
Forward-looking sonar can be used for underwater mapping when water visibility is poor. The generation of an acoustic mosaic of the environment is of high interest when underwater vehicles are used for surveys or search tasks. Moreover, if the mosaic is generated in real-time it can be used to provide instantaneous location feedback (e.g. to a ROV pilot or to an AUV), to ensure complete coverage of...
A video-based vehicle detection method must be capable of continual operation under various environmental and illumination conditions. Therefore, identifying features that can adapt to various conditions is crucial. This paper proposes a robust vehicle detection method for identifying horizontal edges by using a Sobel filter to achieve low computational complexity. Based on the orientation of the...
Stereo vision has been used in many different applications such as robot, entertainment, and electronics for car. Computation of the disparity map requires a large amount of computational resources because of high block-matching computations, especially on the high-resolution image pair. In this paper, we proposed an algorithm for computing the disparity map of a full HD image pair from left and right...
In this paper we propose a method for determining traffic congestion on roads using image processing techniques and a model for controlling traffic signals based on information received from images of roads taken by video camera. We extract traffic density which corresponds to total area occupied by vehicles on the road in terms of total amount of pixels in a video frame instead of calculating number...
In this paper, a new Advanced Driver Assistant System (ADAS) system for LED traffic sign detection algorithm using rectangle shape based on a windowed hough transform and feature based optimization was presented. We used two character to detect the LED traffic sign. One is LED traffic sign have rectangle shape, another is intensity feature of LED traffic sign. After extracting the candidates of LED...
This paper presents a vehicle collision avoidance method and it is associated with the exploitation of multiple features based on the AdaBoost classifier result. The proposed system will enhance the precision rate and accuracy of vehicle detection from 72% to 96% using an AdaBoost detection method extracting multiple features in vehicle detection and false alarms are reduced.
Driving space detection is one of the basic steps for autonomous guidance of vehicles. In this paper a real time road segmentation algorithm is proposed for identifying driving space. The presented algorithm uses the concept of appearance based object detection (ABOD) to detect traversable area for vehicles. The input image is partitioned as road and off road and each individual pixel is classified...
License plate recognition (LPR) systems have attracted the community to expand its benefit and usefulness. It gives easiness to keep tracks of the vehicles that enter and exit the same place. This success is influencing the people to develop mobile LPR systems. In the mobile LPR system, the camera is installed on a vehicle such as the police officer's car. In such systems, the problem is more challenging...
The aim of the project is to detect and recognize traffic signs in video sequences recorded by an onboard vehicle camera. Traffic Sign Recognition (TSR) is used to regulate traffic signs, warn a driver, and command or prohibit certain actions. A fast real-time and robust automatic traffic sign detection and recognition can support and disburden the driver and significantly increase driving safety...
This paper presents a development of a system of management and control of traffic congestion, the role of this system is to alert decision makers at every moment of the threshold value reached by traffic congestion to take the necessary measures to resolve the problems that appear in traffic jams. One of the modules of that system presents an optimization of vision based vehicle detection and vehicle...
Vehicle speed detection is used to estimate the velocity of the moving vehicle using image and video processing techniques. Without any camera calibrations video is captured and analyzed for speed in real time. By employing frame subtraction and masking techniques, moving vehicles are segmented out. Speed is calculated using the time taken between frames and corner detected object traversed in that...
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