Survey on Radar Odometry

Daniel Louback da Silva Lubanco, Thomas Schlechter, Markus Pichler-Scheder, Christian Kastl

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

2 Citations (Scopus)


In this paper odometry approaches that use radar data are analyzed. First, the importance of odometry is discussed along with applications which usually require accurate odometry estimation. Moreover, sensors that are often used for odometry estimation are mentioned as well as the possible drawbacks that these sensors may have. Finally, the benefits of using radar as a source for odometry estimation are discussed. Furthermore, the approaches to perform radar odometry are categorized, and one categorization is evaluated as cardinal, namely the division between the direct method and the indirect method. Therefore, the direct method and the indirect method are investigated and their characteristics are juxtaposed.

Original languageEnglish
Title of host publicationComputer Aided Systems Theory – EUROCAST 2022 - 18th International Conference, Revised Selected Papers
EditorsRoberto Moreno-Díaz, Franz Pichler, Alexis Quesada-Arencibia
Number of pages7
ISBN (Print)9783031253119
Publication statusPublished - 2022
Event18th International Conference on Computer Aided Systems Theory, EUROCAST 2022 - Las Palmas de Gran Canaria, Spain
Duration: 20 Feb 202225 Feb 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13789 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference18th International Conference on Computer Aided Systems Theory, EUROCAST 2022
CityLas Palmas de Gran Canaria


  • Navigation
  • Odometry
  • Radar
  • Robotics


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