Unsupervised Gaussian mixture models for the classification of outdoor environments using 3D terrestrial lidar data

Autor: Fernandes maligo, Artur otavio

Le traitement de nuages de points 3D de lidars permet aux robots mobiles autonomes terrestres de construire des modèles sémantiques de l'environnement extérieur dans lequel ils évoluent. Ces modèles sont intéressants car ils représentent des i

Externí odkaz: http://www.theses.fr/2016ISAT0053/document

Unsupervised Gaussian mixture models for the classification of outdoor environments using 3D terrestrial lidar data

Autor: Maligo , Artur

Publikováno v: Automatic. INSA de Toulouse, 2016. English. ⟨NNT : 2016ISAT0053⟩
Automatic. INSA de Toulouse, 2016. English

The processing of 3D lidar point clouds enable terrestrial autonomous mobile robots to build semantic models of the outdoor environments in which they operate. Such models are interesting because they encode qualitative information, and thus provide

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d90da94bb99bdfcbf77cffda4515633b
https://theses.hal.science/tel-02051445v2/document

Absolute Map-Based Localization for a Planetary Rover

Autor: van Pham, Bach, Maligo, Artur, Lacroix, Simon

Publikováno v: Proceedings of the 12th Sympusium on Advanced Space Technologies and Automation in Robotics
12th Sympusium on Advanced Space Technologies and Automation in Robotics
12th Sympusium on Advanced Space Technologies and Automation in Robotics, May 2013, Noordwijk, Netherlands. pp.1-8

International audience; Navigating autonomously several kilometers in a planetary context without any communication with Earth operators raises several challenges. Among those, precise localization is of essential importance, and the availability of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8e8f3dcaa045f15bc9f1cb68f3e1700c
https://hal.archives-ouvertes.fr/hal-01020989/file/laasPaper.pdf