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Imaging and analysis of traffic scene

Image processing plays an important role in ITS. Since a traffic environment heavily depends on visual information, machine vision is a must in ITS. There are many active research and development programs applying image technologies for ITS. First of all, we need a good and clear image as an input to obtain better image processing results. For this purpose, resolution and dynamic range of an imaging device should be improved. Infrared and microwave imaging are attractive. A depth map from laser radar or microwave radar could be treated as an input to image processing. There are many applications for image processing in ITS. Typical on-board applications are: lane marker detection, obstacle detection, proximity vehicle detection, traffic signal/sign recognition, road surface monitoring, driver monitoring, etc. Roadside applications are traffic surveillance (traffic flow, travel time), incident/accident detection, license number recognition (ETC, parking lot) and parking lot surveillance.