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  4. Efficient Global Occupancy Mapping for Mobile Robots using OpenVDB
 
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2022
Presentation
Title

Efficient Global Occupancy Mapping for Mobile Robots using OpenVDB

Title Supplement
Presentation held at IEEE/RSJ IROS Workshop Agile Robotics: Perception, Learning, Planning, and Control, 27.10.2022, Kyoto
Abstract
In this work we present a fast occupancy map building approach based on the VDB datastructure. Existing log- odds based occupancy mapping systems are often not able to keep up with the high point densities and framerates of modern sensors. Therefore, we suggest a highly optimized approach based on a modern datastructure coming from a computer graphic background. A multithreaded insertion scheme allows occupancy map building at unprecedented speed. Multiple optimizations allow for a customizable tradeoff between runtime and map quality. We first demonstrate the effectiveness of the approach quantitatively on a set of ablation studies and typical benchmark sets, before we practically demonstrate the system using a legged robot and a UAV.
Author(s)
Hagmanns, Raphael
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Emter, Thomas
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Grosse Besselmann, Marvin
Beyerer, Jürgen
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Conference
Workshop "Agile Robotics: Perception, Learning, Planning, and Control" 2022  
International Conference on Intelligent Robots and Systems 2022  
File(s)
Download (2.98 MB)
Rights
Use according to copyright law
DOI
10.24406/publica-1081
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • occupancy mapping

  • map representation

  • UAV

  • OpenVDB

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