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To develop a safe Intelligent Transportation System (ITS) while driving on unpredictable curves or road regions, high precision road segmentation and cover level of forward view estimation for drivers is necessary. Cover level of forward view is defined as the level of difficulty in predicting the dangerousness of road edge or incoming object near road edge especially at a curve due to the obstacles...
Our aim is to automatically detect the road borders in a road scene image. This is useful to many road scenes analysis applications, in both fields of vehicle guidance and civil engineering. Difficulties arise because pavements are often heterogeneous and because illumination variations often occur in outdoor scenes. Some vehicle navigation projects use colour images for road borders detection [1,...
Detecting moving objects in videos is an important task in many computer vision applications, including human interaction, traffic monitoring and Structural Health Monitoring. When having a stationary camera, a basic method to detect the objects of interest is background subtraction. However, precise moving object detection using such a method is an extremely difficult task in a varying environment...
In recent years, route bus service systems have been collecting and accumulating bus probe data such as GPS positions and traffic speeds from all route buses, day after day. In the present paper, we propose a method to analyze the conditions of a road traffic network from a huge amount of the route bus probe data. First, we show a conversion method from the probe data to a road segment data set. Second,...
Positioning license plates has an important role in vehicle identification and using unique identifier for vehicles is a challenging issue in the fields of traffic optimization, statistical analysis, and criminal investigations. Despite unique characteristics of license plates for Iranian and some European vehicles, more research and utilization of simple and cost efficient approaches for positioning...
A vision-based car navigation system (CNS) gives drivers more precise and realistic traffic data than a traditional 2D-CNS. As part of the vision-based CNS, the ability to detect lane markings can provide significant warnings which increase traffic safety and convenience. Meanwhile, accurate lane classification results can indicate the current/approaching road conditions in this system. This paper...
This research addresses the problem of navigating a robotic vehicle autonomously on unstructured roads where road information is not accurate. A real-time system for finding and tracking unstructured road in off-road conditions is proposed. The subsystems of autonomous navigation — road detection, steering, and obstacle avoidance are discussed in detail. This method has been integrated into a vehicle...
Driving vehicles under poor illumination and night conditions is stressful for drivers since co-vehicles that share the same road cannot easily be detected. The existing night vision solutions attempt to use enhancement algorithms or high cost thermal sensors. The enhancement techniques in the literature for night vision are complex and require costly processing hardware. We propose a low cost alternative...
We present a small database of “noisy” traffic signs in cluttered urban environments that exhibit various forms of degradation, including vandalism and fading (discoloration). The database contains five types of international traffic signs that allow differentiation by means of color and shape, and it has been collected in two cities in Greece. We further present a baseline system for detecting and...
In this paper a Dual Ratio change detection method is proposed. This method involves taking two ratios for both real color and false color imagery in order to maximize detected changes and minimize false alarms. The proposed Dual Ratio method outperforms other methods tested in terms of Area Under the Curve (AUC) performance by an average of 18 percent at low false alarm rates and an average of 10...
A stereo vision based road scene segment and vehicle detection method was proposed in this paper. In the method, First, dynamic programming was used for stereo matching, and then mismatching pixels were removed by left-right-consistency check; Second, V disparity was built by computing the disparity map, and a fast projection based line detection method was used to detect lines in V disparity map,...
In this paper, we propose a real-time architecture of multiple features extraction for vehicle verification. First, we set a range of YCbCr values to extract the pixels belonging to vehicle back lights. The density of light is computed by the number of the extracted pixels, and considered as the first feature. The second feature is the location of license plate. It is determined by Searching Area...
It is dangerous for drivers to make a call while driving, as it could easily divert the drivers' attention. In this paper, we present a novel method to detect the driver use of mobile phone based on an in-car camera. The in-car camera is mounted on the front windshield to capture the video of the driver during driving, and an activity parsing algorithm is employed to identify whether the driver is...
To identify a vehicle, License Plate identification technology is the key technology of intelligent transport system, finding a stohn vehicle, monitoring traffic flow, in town management, highway tolls etc. The major issue in such applications is to detect the exact location of plate, because finding the location of number plate could vary and as well as its size and color; many of the vehicles have...
When dealing with road traffic modeling, one problem is given by the difficulty of modeling the dynamics of a vehicle/group of vehicles from the time it enters a road section until it reaches the end. Besides, road traffic, seen as a complex dynamic process, is difficult to be characterized by fixed values. Therefore, this paper proposes a solution using fuzzy logic control, which by analyzing the...
License plate character segmentation (LPCS) is a very important part of vehicle license plate recognition (LPR) system. The accuracy of LPR system widely depends on two parts; namely license plate detection (LPD) and LPCS. Different country has different types and shapes of LPs are available. Based on character position on LP, we can find two types of LPs over the world, single row (SR) and double...
In this paper an efficient crop row detection method is proposed for vision-based navigation for agriculture robots. In the proposed method, no low level features (such as edges and middle lines of the images) are needed. So the complex algorithms for edging and matching (e.g. the Hough transform) are avoided, which greatly saves the computation loads. Instead, a flexible quadrangle is defined to...
In past two decades, developing a system that can navigate vehicle autonomously becomes more interesting problem. The vehicle is equipped by sensors, such as radar, laser, GPS, and camera for sensing the surrounding. Among them, utilization of camera with computer vision technique is the most adopted method for constructing such a system. It is because camera provides a lot of information and is low-cost...
Visual navigation is an important research field in robotics due to low cost of cameras and the good results that these systems usually achieve. This paper presents monocular and stereo vision-based detection methods. The obstacles are detected and fused through the Dempster-Shafer theory for generating a cloud of points that contains the probability of the existence of obstacles in the environment...
In this paper we present a method for roadside vegetation detection from video obtained from a moving vehicle with intended use in road infrastructure maintenance and traffic safety. While many published methods are using Near Infrared images which are suitable for vegetation detection, our method uses image features from the visible spectrum allowing the use of a common color camera. The presented...
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