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This study describes a method for using a camera to automatically recognize the speed limits on speed-limit signs. This method consists of the following three processes: first (1) a method of detecting the speed-limit signs with a machine learning method utilizing the local binary pattern (LBP) feature quantities as information helpful for identification, then (2) an image processing method using...
In our daily life we develop many activities that result imperceptible for the majority of us because the null effort that they represent to develop them, however, when we most develop those activities with any type of restriction, they acquire a higher level of difficulty. One simple activity is the communication process; we develop it in an easy way during almost all day, however, for people with...
This paper proposes a lane estimation algorithm on roads where lanes are not visible due to fading or bad weather conditions. The proposed algorithm is conducted by utilizing the road width and remained lines on roads. The results indicate that the proposed algorithm can estimate lanes in heavy rains and nights.
Images projected from HUD (Head-up Display) are always overlaid with moving background scene. In such cases, drivers suffer from understanding instinctively the HUD information. Visibility enhancement of HUD information is very important for drivers to recognize easily and quickly the information. In this paper, we propose two visibility enhancement methods of HUD image, which are based on the dominant...
In order to make the computer own the knowledge about Chinese vehicle license plate segmentation and recognition, the paper put forward a set of algorithms about license plate segmentation and recognition. The algorithms are divided into four parts: image preprocessing, license plate location, license plate segmentation and character recognition. The aim of image preprocessing is quickly and easily...
This paper proposes methods for detecting platoons in a traffic stream using automated techniques. Three different methods are tested for platoon detection, namely Cluster based approach, modified Gaur and Mirchandani approach, and an Image processing based technique. Corroboration was carried out using dataset from an arterial in Chennai, India. The results obtained showed all the methods working...
Lane detection algorithm using a vision sensor or a camera would be more effective for self-driving vehicles to keep in lane, if it is possible to derive a distance ratio between a vehicle and left-right lanes. However, a dangerous situation may occur if the performance of the camera (e.g., frame/sec.) and the real-time speed of the vehicle are not considered properly because of the huge distance...
Today's vehicles increasingly embed software intelligence in order to be safer for the driver, and to achieve autonomous driving in a close future. To answer the computational needs of these algorithms, system-on-chip (SoC) suppliers propose heterogeneous architectures. With such complex SoCs, embedding applications in vehicle becomes more and more complex for car manufacturers. Indeed, it is not...
The huge growth in the smartphones market has led to the improvement in ARM architectures, so that today there are many devices based on them, with sufficient capacity to deal with certain image processing applications. These are used in VSN (Visual Sensor Networks) and in other scenarios, where the energy used in the process is a parameter to be considered. In these scenarios, and with the HMP (Heterogeneous...
Safety in a travel is a very important factor we consider in our day today life because we live in a very dynamic and a busy lifestyle. As a result the tendency of making failures in critical moments could create a fatal mistake and it could lead even to lose lives. To ensure maximum safety nowadays the researches and design engineers put their maximum efforts. The technology adopts to enhance daily...
Research on moving vehicle detection based on Video and Image Processing is a significant research topic in image processing and computer vision, and is also a basic and key work in intelligent traffic system field, which directly affects the follow-on object identification and tracking, analysis and understanding of the traffic scene. In this paper detection of moving vehicles has been studied, analyed...
Many vehicle accidents are caused by driver fatigue. Systems to monitor driver fatigue can contribute to a decrease in fatalities. This paper describes the development of a multi-sensor system for driver fatigue detection. The system achieves this by monitoring eye closure and wheel steering movements, and is able to alert the driver of any detected anomalies. Various techniques are suggested for...
This paper describes the tracking guidance for the autonomous UAV landing and the vision-based detection of the marker on the moving vehicle with the real-time image processing system. The detection of the marker is based on the color detection algorithm with morphological filter and the tracking guidance is based on the relative distance between the UAV and the vehicle. In order to track and land...
Traffic Level of Service (LOS) information is crucial for traffic management systems, especially in urban areas. One method to estimate traffic LoS is to use a central server system to process traffic images captured by road side cameras. However, this approach requires a high performance server system as well as high network throughput to transmit images from the cameras to the server, which results...
In this paper, a system is designed especially to communicate between vehicles at night time. This system providing a security for the driver by giving him the luxury of communicating with other vehicles without getting out of his vehicle and another important feature of this system is that for the communication purpose no service provider is needed. In this system visible light is used for communication,...
Todays, the number of vehicles is rapidly increasing. In parallel, the number of ways and traffic signs have increased. As a result of increased traffic signs, the drivers are expected to learn all the traffic signs and to pay attention to them while driving. A system that can automatically recognize the traffic signs has been need to reduce traffic accidents and to drive more freely. Traffic sign...
Driver fatigue is the major cause of accidents in the world. Detecting the drowsiness of the driver is the surest ways of measuring the driver fatigue. The purpose of this paper is to develop a drowsiness detection system. This system works by analyzing the eye movement of the driver and alerting the driver by activating the buzzer when he/she is drowsy. The system so implemented is a nonintrusive...
An instrument to improve the quality of life in large cities, helping to reduce the car traffic, is presented in this paper. It will result in a mobile guidance software that will help the drivers looking for a parking place to find it efficiently. SmartPark relies on available parking information systems, as well as on new sensors or even on social data inputs. A fixed magnetic on-street sensor and...
Currently artificial intelligence combined with computer vision has helped in performing daily activities, the current tendency of semi-autonomous vehicles assisted by artificial intelligence and computer vision has created a new field of image processing research. The image processing to support autonomous route tracking systems they have been tested in controlled media. In this investigation we...
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...
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