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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

  1. Mercedes-Benz (Germany) · Daimler (Germany)

    Affiliation as printed

    Environment Perception, Research & Development, Mercedes-Benz AG, Stuttgart, Germany

  2. Mercedes-Benz (Germany) · Daimler (Germany)

    Affiliation as printed

    Environment Perception, Research & Development, Mercedes-Benz AG, Stuttgart, Germany

  3. Mercedes-Benz (Germany) · Daimler (Germany)

    Affiliation as printed

    Environment Perception, Research & Development, Mercedes-Benz AG, Stuttgart, Germany

  4. Mercedes-Benz (Germany) · Daimler (Germany)

    Affiliation as printed

    Environment Perception, Research & Development, Mercedes-Benz AG, Stuttgart, Germany

  5. Mercedes-Benz (Germany) · Daimler (Germany)

    Affiliation as printed

    Environment Perception, Research & Development, Mercedes-Benz AG, Stuttgart, Germany

  6. 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

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References 25