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This paper presents a vision based algorithm for obstacle detection and avoidance for autonomous land vehicle. For an efficient algorithm it is necessary to know the information about surrounding environment of vehicle. The whole environment is classified in two groups as obstacle and path. This classification helps to find the space for avoiding the obstacle. Data is acquired by a high resolution...
Automatic license plate recognition (ALPR) is the process of locating and extracting vehicles plate information from images or videos. The extracted information is essential for several everyday applications, ranging from automated payment services (e.g. parking and toll roads payment collection) to more critical applications, like border crossing security and traffic surveillance systems. Various...
Fatality due to road accidents are increasing with the increase in population and number of vehicles. Intelligent systems are developed to counter act the loss due to road accidents. The paper proposes one such method to counter the accidents by the implementation of pedestrian detection by the use of LBP histogram and HAAR-like features. LBP histogram are used for cross checking the HAAR-like features...
In this paper, a new approach for Iranian vehicle license plate recognition (LPR) is proposed. The proposed algorithm contains four main steps including plate localization, segmentation, recognition, and fusion of multiple recognition results. The license plate localization is begun with some preprocessing for down-sampling, denoising and histogram equalization. Then, histogram of vertical edges is...
Lane detection is a critical step in advanced driver assistance systems (ADAS). The detected lane information is used by later modules of warning and controlling the differential brake and steering angle. Here we propose an efficient algorithm for detecting accurate lane inbounds under varying illumination and road conditions like curvy, straight and dashed lane markings, deterministically. The current...
We present a robust real-time vision-based system for vehicle tracking and categorization, developed for traffic flow surveillance. We propose a robust segmentation algorithm that detects foreground pixels corresponding to moving vehicles. Experimental results based on four large datasets show that our method can count and classify vehicles with a high level of performance (more than 98%).
Nowadays roads are getting overcrowded and the number of vehicles on the roads is increasing. The main reason is the increase in the population of metro cities, urbanization, and economical development of the country that subsequently led to the increased demand for vehicular travel. Incident detection and Traffic congestion are the serious issues in Traffic engineering applications and Intelligent...
It has been proven that a small set of generated candidate windows can speed up the classical sliding windows object detection. To prevent rear-end collisions and accidents, we provide a novel approach to get front-vehicle proposal for vehicle detection. Observing that on road the front vehicle has obvious edges, the proposed method stands on precise edge features detected by Structured Edge detector...
Fast object detection is the most important part of the unmanned surface vehicles (USV) which make it possible for the USV to avoid the obstacle automatically and navigate autonomously. So, it is necessary to find a fast and accurate object detection method. In practice, the significant difficulty is that the environment is quite complicated which make the object uncertain. The obstacle may be a person,...
Advanced Driving Assistant Systems, intelligent and autonomous vehicles are promising solutions to enhance road safety, traffic issues and passengers' comfort. Such applications require advanced computer vision algorithms that demand powerful computers with high-speed processing capabilities. Keeping intelligent vehicles on the road until its destination, in some cases, remains a great challenge,...
For the road edge detection under the structured and semi-structured road environment, we model the road edge using a linear regression and propose an improved RANSAC algorithm to finish the model selection, and it is applied to the fitting and filtering of road edge points extracted from the 2D LIDAR (light detecting and ranging) data. First, road edge points are extracted using the discrete Kalman...
This paper proposes a method to detect the lanes from the aerial videos, which is composed of two parts: image pre-processing and the lane detection. The first part, image pre-processing, mainly includes down-sampling, image binarizing and lane edge getting, and then a low resolution binary image will be gotten. The second part consists of the line parameter getting based on Hough Transform, false...
Number plate recognition has been used widely for access control, congestion control, vehicle management, security control and vehicle behavior monitoring system. This study discusses the importance of number plate recognition and its corresponding application in different countries. Various methods for recognizing number plates are reviewed. Most of the systems are able to deliver good recognition...
This paper proposes a method to analyse humanmade environments in order to identify ascending steps and stairs and recognize their parameters. The system uses adjustable 3D environment geometries for the detection of steps and estimates tread depth and width, riser height and yaw orientation from the camera to staircase. Those parameters are needed by humanoid robots to ensure a safe traversal of...
This paper proposes a feature-based technique to detect pedestrians and recognize vehicles within thermal images that have been captured during nighttime. The proposed technique applies the support vector machine (SVM) classifier on CENsus Transformed histogRam Oriented Gradient (CENTROG) features in order to classify and detect humans and/or vehicles. Although thermal images suffer from low image...
The opportunity of using smart mobile devices (e.g. smartphones) for traffic light detection, on-board of vehicles, is investigated in this paper. We focus on developing an algorithm suitable for the processing capabilities of a mobile device, with promising detection capabilities. Candidate points for traffic lights are extracted using Gaussian distributions for hue, saturation and lightness with...
In order to enhance the effects of license plate recognition in intellectual transport domain, this article carries out positioning, partitioning and characteristics extracting on license plate images that have been collected, so as to realize the function of license plate character recognizing. In order to boost the contrast on a license plate and to reduce noises, methods of gray degree reinforcing...
License plate can be used for identifying vehicle since it is unique for each vehicle. In this paper proposes a fast technique for identifying the vehicle licenseplate. Here first the input image is binarized by adaptive thresholding and then image is enhanced by unwanted-line elimination algorithm (ULEA). Then on applying VEDA vertical edges of the image is detected. Then number of possible candidate...
Nowadays, electronic toll collection (ETC) is used extensively in many countries and places, but many drivers evade detection by covering, altering or otherwise obscuring their license plates. In order to detect vehicles attempting to evade paying tolls, this study aims to identify vehicles without requiring the license plate information. Unlike traditional vehicle license plate recognition, in this...
Many up to date techniques are involved in Intelligent Transportation System (ITS). As an essential part of ITS, License Plate Recognition (LPR) is widely studied. Among the techniques used for LPR, image projection method is testified to be an effective means in obtaining image feature in practice. However, image projection method could not solve all the problems in image identification. For instance,...
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