KIT | KIT-Bibliothek | Impressum | Datenschutz

Efficient Global Occupancy Mapping for Mobile Robots using OpenVDB

Hagmanns, Raphael ORCID iD icon 1; Emter, Thomas; Grosse-Besselmann, Marvin; Beyerer, Jürgen
1 Institut für Anthropomatik und Robotik (IAR), Karlsruher Institut für Technologie (KIT)

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.


Volltext §
DOI: 10.5445/IR/1000177385
Veröffentlicht am 16.12.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Anthropomatik und Robotik (IAR)
Publikationstyp Forschungsbericht/Preprint
Publikationsjahr 2022
Sprache Englisch
Identifikator KITopen-ID: 1000177385
Verlag arxiv
Umfang 6 S.
Bemerkung zur Veröffentlichung Presented in Agile Robotics Workshop at IROS2022
Schlagwörter Robotics (cs.RO)
Nachgewiesen in arXiv
Dimensions
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page