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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,...
Traffic light is one of the important signs for drivers that help managing the car flow and reducing accident on the road. As of today technology, there exists a traffic light detection system that warns the driver to reduce the accident significantly. In this paper, we are concerned with only the red and yellow traffic light to reduce false positive and time consumption. The fast radial symmetry...
Vehicle accidents are widespread these days. They cause loss of invaluable human lives as well as huge loss of property. An efficient accident avoidance system has been a great need since the invention of motor vehicles. We propose a vehicle accident warning system based on image processing techniques. It uses two criteria for enabling accident warning. These are driver drowsiness and front vehicle...
Prohibitory traffic signs play an important role in guiding, warning and regulating traffic system. As driving over the speed limit is often the major cause of accidents, detecting this group of prohibitory signs may reduce this danger. This paper presents an approach to detecting speed limit signs at night mode which is based on Multi-Scale Retinex Color Restoration and Hough Transform. Experiment...
Speed limit determination systems for cars based on vision are more and more developed. Roadsign detection is nowadays a well managed problem. However, in some situations this information is not sufficient to know the speed limitation. Restrictions are sometimes applicable and specified by subsigns. These small rectangles often provide essential information about the applicability scope (vehicle type,...
In recent years, intelligent vehicles and smart phones have become more and more popular. The traffic sign recognition system is one kind of driving assistance system (DAS) which is used to automatically inform the driver the traffic sign information by a head up display (HUD), monitor, or speaker device. Hence this system is helpful to reduce driver distraction to increase driver safety. In this...
The future of intelligent vehicles will rely on robust information to allow the proper feedback to the vehicle itself, to issue several kinds of active safety, but before all, to generate information for the driver by calling his or her attention to potential instantaneous or mid-term risks associated with the driving. Before true vehicle autonomy, safety and driver assistance are a priority. Sophisticated...
Various image processing techniques and geometric models have been applied in vision based lane detection subsystems of intelligent vehicles and Advanced Driver Assistance Systems (ADAS). However, challenging conditions such as strong shadows, occlusions, eroded markings, high curvatures are ongoing issues in this topic. In this paper, a novel lane extraction method based on symmetrical local threshold...
The recognition and tracking of traffic lights for intelligent vehicles based on a vehicle-mounted camera are studied in this paper. The candidate region of the traffic light is extracted using the threshold segmentation method and the morphological operation. Then, the recognition algorithm of the traffic light based on machine learning is employed. To avoid false negatives and tracking loss, the...
Recently, researches on intelligent vehicles which can drive in urban environment autonomously become more popular. Traffic lights are common in cities and are important cues for the path planning of intelligent vehicles. In this paper, a robust and efficient algorithm to detect traffic lights based on video sequences captured by a low cost off-the-shelf video camera is proposed. The algorithm models...
Application of a vision system and a remote control car to an elective fourth year design project in electrical engineering is discussed. The design project involves learning and application of various sensors, actuators, control theories. The end product of the design project is an intelligent vehicle that is able to follow an emulated highway automatically. A camera with embedded color tracking...
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