Radar Concepts and Algorithms for Infrastructure-Based Traffic Monitoring in Smart Cities
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Beschreibung
Primarily driven by automotive sensing for highly automated vehicles, radar technology has made a significant leap towards miniaturized and efficient multi-channel front-ends in recent years. However, when aiming at a system solution for future traffic management including an inevitable interim period with non-cooperative and autonomous vehicles, limitations of that approach become obvious as vehicle-based sensing only captures the immediate vehicle surroundings.
This is were sensing from the infrastructure side comes into play. Radar sensors mounted at light posts or building walls generating information about public space usage including, e.g., road lanes, sidewalks, parking space, rail stations or level crossings can provide essential information in order to support traffic optimization at city level or serve as complementary input for automated vehicles. The ultimate goal is to achieve comprehensive sensing coverage and generate an image-like real-time dynamic map of the environment.
This work addresses crucial challenges of infrastructure-based radar sensing, presenting methods of ground level imaging by means of multiple-input multiple-output virtual arrays and array calibration, sensor data fusion for extended parameter extraction, as well as fully automatic relative self-alignment of multiple sensors to eliminate the need for costly installation procedures which is vital in a city-scale setup.
Autor*in
Dominik Zoeke
Themen in »Radar Concepts and Algorithms for Infrastructure-Based Traffic Monitoring in Smart Cities«
MIMO radar sensor fusion traffic monitoring