Passive Guidance for Offroad-Vehicles

Werner Bailer*, Hermann Fürntratt, Manfred Klopschitz, Dominik Lampel, Roman Lesjak, Matthias Rüther, Susanne Schweitzer, Gerald Steinbauer-Wagner

*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

In contrast to commercial automated driving, where systems are usually able to use infrastructure such as high-definition maps and GNSS as well as active sensors such as Lidar or Radar, in unstructured offroad environments for military or disaster response application such means are not available. In order to address a logistics tasks in such a setting we propose a vehicle guidance approach that is based on IMU pose tracking and visual image retrieval in an image database build up from a training trajectory. The approach has been implemented as a prototype and evaluated with IMU and image data recorded in several recording campaigns in military offroad areas.

Originalspracheenglisch
TitelAdvances in Service and Industrial Robotics - RAAD 2022
Redakteure/-innenAndreas Müller, Mathias Brandstötter
Herausgeber (Verlag)Springer Science and Business Media B.V.
Seiten460-468
Seitenumfang9
ISBN (Print)9783031048692
DOIs
PublikationsstatusVeröffentlicht - 2022
Veranstaltung31st International Conference on Robotics in Alpe-Adria-Danube Region: RAAD 2022 - Klagenfurt, Österreich
Dauer: 8 Juni 202210 Juni 2022

Publikationsreihe

NameMechanisms and Machine Science
Band120 MMS
ISSN (Print)2211-0984
ISSN (elektronisch)2211-0992

Konferenz

Konferenz31st International Conference on Robotics in Alpe-Adria-Danube Region
KurztitelRAAD 2022
Land/GebietÖsterreich
OrtKlagenfurt
Zeitraum8/06/2210/06/22

ASJC Scopus subject areas

  • Werkstoffmechanik
  • Maschinenbau

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