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Traffic light recognition is of great significance for driver assistance or autonomous driving. In this paper, a traffic light recognition system based on smartphone platforms is proposed. First, an ellipsoid geometry threshold model in Hue Saturation Lightness color space is built to extract interesting color regions. These regions are further screened with a postprocessing step to obtain candidate...
In this paper, we demonstrated an application of video tracking to radiation detection, where a vision-based tracking system enables a traditional CZT (cadmium zinc telluride)-based radiation imaging device to detect radioactive targets that are in motion. An integrated real-time system consisting of multiple fixed cameras and radiation detectors was implemented and tested. The multi-camera tracking...
The gas of vehicle emissions contains large amounts of harmful gases. To sustain the quality of the air in tunnel, we need ventilation, which is a systematic project. We should take into account not only construction costs For ventilation planning, but also should consider the development of future maintenance and management of the transport costs and the corresponding need for phased construction...
The lane detection is a key component of the intelligent transportation systems (ITS). We present a robust approach of lane detection based on machine vision. First, we present the lane model and region of interest (ROI) of the road image. Then, we propose the edge detection approach of the road image based on gray value grade. After that, we illustrate how to remove the interference points in the...
Lane departure warning system based on machine vision is a human decision-make like solution to avoid lane departure fatalities with low cost and high reliability. In this paper, the model of vision-based lane departure warning system and the realization is described at first. Then the method of lane detection is illustrated, which is composed of three steps: image preprocessing, binary processing...
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