INDOOR LIDAR RELOCALIZATION BASED ON DEEP LEARNING USING A 3D MODEL

INDOOR LIDAR RELOCALIZATION BASED ON DEEP LEARNING USING A 3D MODEL

Indoor localization, navigation and mapping systems highly rely on the initial sensor pose information to achieve a high accuracy. Most existing indoor mapping and navigation systems cannot initialize the sensor poses automatically and consequently these systems cannot perform relocalization and rec...

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Bibliographic Details
Main Authors:	H. Zhao, D. Acharya, M. Tomko, K. Khoshelham
Format:	Article
Language:	English
Published:	Copernicus Publications 2020-08-01
Series:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B1-2020/541/2020/isprs-archives-XLIII-B1-2020-541-2020.pdf

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