Robust Point-shaped Landmark Detection Using Polarimetric Radar
IEEE Intelligent Vehicles Symposium, pp. 859–865
Abstract
This paper presents a robust detector of point-shaped landmarks by leveraging scattering information from polarimetric covariance radar gridmaps. Reliable landmarks are an essential part of any feature-based vehicle self-localization required for highly automated and autonomous driving. A polarimetric distance measure is used to extract cells with scattering behavior that is uniquely distinct from its neighborhood. Experiments on real-world data are evaluated and results from a single-, dual- and full-polarization utilization are compared. By association with a high definition map, a comparison of the suitability of different types of landmarks such as poles, guideposts and tree trunks for localization applications is made.
Authors 6
-
Mercedes-Benz (Germany) · Daimler (Germany)
Affiliation as printed
Environment Perception, Research & Development, Mercedes-Benz AG, Stuttgart, Germany
-
Mercedes-Benz (Germany) · Daimler (Germany)
Affiliation as printed
Environment Perception, Research & Development, Mercedes-Benz AG, Stuttgart, Germany
-
Mercedes-Benz (Germany) · Daimler (Germany)
Affiliation as printed
Environment Perception, Research & Development, Mercedes-Benz AG, Stuttgart, Germany
-
Mercedes-Benz (Germany) · Daimler (Germany)
Affiliation as printed
Environment Perception, Research & Development, Mercedes-Benz AG, Stuttgart, Germany
-
Mercedes-Benz (Germany) · Daimler (Germany)
Affiliation as printed
Environment Perception, Research & Development, Mercedes-Benz AG, Stuttgart, Germany
-
RWTH Aachen University · Fraunhofer Institute for High Frequency Physics and Radar Techniques
Affiliation as printed
Fraunhofer Institute for High Frequency Physics and Radar Techniques, Wachtberg, Germany
Institute of High Frequency Technology, RWTH Aachen University, Aachen, Germany
Cited by 3 stored of 3
3 results
No patents citing this paper on Lens.org (checked 2026-10-06).
References 25
-
W6681971729details pending0citations
-
W6726047066details pending0citations
-
W6731577630details pending0citations
-
W6777399880details pending0citations
-
W6782508886details pending0citations