AdaSplats: Adaptive Splatting of Point Clouds for Accurate 3D Modeling and Real-Time High-Fidelity LiDAR Simulation

Autor: Jean Pierre Richa, Jean-Emmanuel Deschaud, François Goulette, Nicolas Dalmasso

Publikováno v: Remote Sensing, Vol 14, Iss 24, p 6262 (2022)

LiDAR sensors provide rich 3D information about their surroundings and are becoming increasingly important for autonomous vehicles tasks such as localization, semantic segmentation, object detection, and tracking. Simulation accelerates the testing,

Externí odkaz: https://doaj.org/article/494bd73ea8424068bb5dba5e93a0c922

A Robust Linear Feature-Based Procedure for Automated Registration of Point Clouds

Autor: Martyna Poreba, François Goulette

Publikováno v: Sensors, Vol 15, Iss 1, Pp 1435-1457 (2015)

With the variety of measurement techniques available on the market today, fusing multi-source complementary information into one dataset is a matter of great interest. Target-based, point-based and feature-based methods are some of the approaches use

Externí odkaz: https://doaj.org/article/a43df04e7edd404cb59f8273ea701a85

Automatic clustering of Celtic coins based on 3D point cloud pattern analysis

Autor: Jean-Emmanuel Deschaud, François Goulette, Katherine Gruel, Sofiane Horache, Thierry Lejars

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2020, Pp 973-980 (2020)

The recognition and clustering of coins which have been struck by the same die is of interest for archeological studies. Nowadays, this work can only be performed by experts and is very tedious. In this paper, we propose a method to automatically clu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d1b3312cad52a470050a3d10c5d1646

A graph-based color lines model for image analysis

Autor: Beatriz Marcotegui, Jean-Emmanuel Deschaud, François Goulette, Santiago Velasco-Forero, David Duque-Arias

Publikováno v: Image Analysis and Processing – ICIAP 2019 20th International Conference, Trento, Italy, September 9–13, 2019
International Conference on Image Analysis and Processing
International Conference on Image Analysis and Processing, Sep 2019, Trento, Italy. ⟨10.1007/978-3-030-30645-8_17⟩
Lecture Notes in Computer Science ISBN: 9783030306441
ICIAP (2)

International audience; This paper addresses the problem of obtaining a concise description of spectral representation for color images. The proposed method is a graph-based formulation of the well-known Color Lines model. It generalizes the lines to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f03b03d9be88db78522f26c30ab7f366
https://hal.archives-ouvertes.fr/hal-02182477

EXPERIMENTAL ASSESSMENT OF THE QUANERGY M8 LIDAR SENSOR

Autor: M.-A. Mitteta, Houssem Nouira, Jean-Emmanuel Deschaud, François Goulette, Xavier Roynard

Publikováno v: ISPRS 2016 congress
ISPRS 2016 congress, Jul 2016, Prague, Czech Republic
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B5, Pp 527-531 (2016)

International audience; Commission V, WG V/3 KEY WORDS: Quanergy M8 / LIDAR / range imaging / calibration / point cloud / assessment ABSTRACT: In this paper, some experiments with the Quanergy M8 scanning LIDAR system are related. The distance measur

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d62be0e084226c003e1a50630450e95
https://doi.org/10.5194/isprsarchives-xli-b5-527-2016