Outdoor vehicle detection is one of the most challenging tasks in the world of Intelligent Transportation Systems (ITS). Today, a substantial amount of different technologies such as video detection, microwave radar detection and electromagnetic loop detection are used worldwide to detect vehicles for ITS applications such as traffic signal control, traffic flow measurement, automatic incident detection and many more. A growth in parking management applications has resulted in technologies being adapted to respond to different environments with different needs. This paper will present a video-based approach to detect vehicles at parking areas.
More and more governments and authorities around the world are promoting the use of bicycles in cities, as this is
healthy for the bicyclist and improves the quality of life in general. Safety and efficiency of bicyclists has become a
major focus. To achieve this, there is a need for a smarter approach towards the control of signalized intersections. Various traditional detection technologies, such as video, microwave radar and electromagnetic loops, can be used to detect vehicles at signalized intersections, but none of these can consistently separate bikes from other traffic, day and night and in various weather conditions.
As bikes should get a higher priority and also require longer green time to safely cross the signalized intersection, traffic managers are looking for alternative detection systems that can make the distinction between bicycles and other vehicles near the stop bar. In this paper, the drawbacks of a video-based approach are presented, next to the benefits of a thermal-video-based approach for vehicle presence detection with separation of bicycles. Also, the specific technical challenges are highlighted in developing a system that combines thermal image capturing, image processing and output triggering to the traffic light controller in near real-time and in a single housing.