---
res:
  bibo_abstract:
  - In this paper we present an algorithm for the detection of moving targets in sight
    of an automotive radar sensor which can handle distorted ego-velocity information.
    In situations where biased or none velocity information is provided from the ego-vehicle,
    the algorithm is able to estimate the ego-velocity based on previously detected
    stationary targets with high accuracy, subsequently used for the target classification.
    Compared to existing ego-velocity algorithms our approach provides fast and efficient
    inference without sacrificing the practical classification accuracy. Other than
    that the algorithm is characterized by simple parameterization and little but
    appropriate model assumptions for high accurate production automotive radar sensors.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Christopher
      foaf_name: Grimm, Christopher
      foaf_surname: Grimm
  - foaf_Person:
      foaf_givenName: Ridha
      foaf_name: Farhoud, Ridha
      foaf_surname: Farhoud
  - foaf_Person:
      foaf_givenName: Tai
      foaf_name: Fei, Tai
      foaf_surname: Fei
  - foaf_Person:
      foaf_givenName: Ernst
      foaf_name: Warsitz, Ernst
      foaf_surname: Warsitz
  - foaf_Person:
      foaf_givenName: Reinhold
      foaf_name: Haeb-Umbach, Reinhold
      foaf_surname: Haeb-Umbach
      foaf_workInfoHomepage: http://www.librecat.org/personId=242
  dct_date: 2017^xs_gYear
  dct_language: eng
  dct_title: Detection of Moving Targets in Automotive Radar with Distorted Ego-Velocity
    Information@
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