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Titel:

Enhancing accuracy in visual SLAM by tightly coupling sparse ranging measurements between two rovers

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Chen Zhu, Young-Hee Lee, Gabriele Giorgi, Christoph Günther:
Abstract:
Compared with stand-alone rovers, cooperative swarms of robots equipped with cameras enable a more efficient exploration of the environment, and are more robust against malfunctions of an individual platform. VSLAM (Visual Simultaneous Localization and Mapping) techniques have been developed in recent years to estimate the trajectory of vehicles and to simultaneously reconstruct the map of the surroundings using visual clues. This work proposes a tight coupling sensor fusion approach based on th...     »
Kongress- / Buchtitel:
2018 IEEE/ION Position, Location and Navigation Symposium (PLANS)
Ausrichter der Konferenz:
Institute of Navigation (ION)
Jahr:
2018
Reviewed:
ja
Sprache:
en
WWW:
https://ieeexplore.ieee.org/document/8373412
TUM Einrichtung:
Lehrstuhl für Kommunikation und Navigation
Copyright Informationen:
IEEE Copyright
 BibTeX