Terrain prediction with a low-cost LIDAR sensor for mobile robots

Raimund Edlinger, Andreas Nüchter

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

3 Zitate (Scopus)

Abstract

Terrain modelling influences various aspects of mobile robot navigation. The ability to explore in rough terrain and to recognise ground conditions are essential to perform different activities efficiently, safely and satisfactorily. For this reason, intelligent vehicles and robotic systems need cognitive capabilities to understand the terrain and derive information from it. The information is mostly acquired and processed by very high-resolution 3D-cameras and LiDAR sensors which provide full 360-degree environmental view to deliver accurate 3D data. The aim of this paper is to find out whether a low-cost sensor variant can measure sufficient and significant data from the terrain in order to modify the navigation behaviour and provide the correct control commands. In this paper we describe a low-cost sensor with Infrared Time-of-Flight (ToF) technology and 64-pixel depth image. Furthermore, different experiments on the detection of the sensor were conducted and with appropriate filters and signal processing algorithms the environmental perception could be significantly improved. In summary, our results provide both evidence and guidelines for the use of the selected sensor in environmental perception to improve local obstacle detection and terrain modelling, which we believe will lead to a very cost-effective improvement in competence and situational awareness.
OriginalspracheEnglisch
TitelThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
UntertitelISPRS TC II 7th International Workshop LowCost 3D - Sensors, Algorithms, Applications
Seiten81-86
Seitenumfang6
Band48
Auflage2/W1-2022
DOIs
PublikationsstatusVeröffentlicht - 8 Dez. 2022
Veranstaltung7th International Workshop LowCost 3D - Sensors, Algorithms, Applications - Graduate School, University of Würzburg, Würzburg, Deutschland
Dauer: 15 Dez. 202216 Dez. 2022
https://lc3d.fbk.eu/home

Publikationsreihe

NameInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Herausgeber (Verlag)International Society for Photogrammetry and Remote Sensing
ISSN (Print)1682-1750

Workshop

Workshop7th International Workshop LowCost 3D - Sensors, Algorithms, Applications
Land/GebietDeutschland
OrtWürzburg
Zeitraum15.12.202216.12.2022
Internetadresse

Schlagwörter

  • 3d scanning
  • low-cost LiDAR sensors
  • terrain prediction
  • online terrain estimation
  • ToF sensors

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