In the last few years cars got equipped with commercially available radar sensors. Next to driver assistance, safety is an important topic. Not only the safety of the passengers but also the safety of other, especially vulnerable road users is of major concern. Based on an available radar platform from InRas, we investigate the radar echos from moving vulnerable road users like pedestrians and bicyclists. Up to now we have developed a set of clustering and tracking algorithms which allows us to monitor a scenario over time. Subsequently we aim no only on target detection and tracking but also classification. These results will on one hand enable more sophisticated driver assistance systems and bring them towards autonomous driving. On the other hand this opens a new market for radar sensor in the field of property surveillance.
More information can be found in the open access publication https://ieeexplore.ieee.org/document/7850967, opens an external URL in a new window
Top left: camera for verification.
Top right: Range and range-rate with color denoting the angle of incident and brightness the strength of the detection.
Botten left: Mapping of range and angle of incident to positions in euclidian space for moving targets.
Bottem right: Mapping of range and angle of incident to positions in euclidian space for moving targets.
Johannes Kepler University Linz
Altenberger Straße 69
4040 Linz, Austria
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