Summarizing Large Scale 3D Point Cloud for Navigation Tasks

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TitreSummarizing Large Scale 3D Point Cloud for Navigation Tasks
Type de publicationConference Paper
Year of Publication2017
AuteursBen Salah I, Kramm S, Demonceaux C, Vasseur P
Conference Name2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)
PublisherIEEE
Conference Location345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN Number978-1-5386-1526-3
Résumé

Democratization of 3D sensor devices makes 3D maps building easier especially in long term mapping and autonomous navigation. In this paper we present a new method for summarizing a 3D map (dense cloud of 3D points). This method aims to extract a summary map facilitating the use of this map by navigation systems with limited resources (smartphones, cars, robots...). This Vision-based summarizing process is applied in a fully automatic way using the photometric, geometric and semantic information of the studied environment.