no code implementations • 22 Nov 2021 • Jean-Emmanuel Deschaud, David Duque, Jean Pierre Richa, Santiago Velasco-Forero, Beatriz Marcotegui, and François Goulette
The data are composed of two sets with synthetic data from the open source CARLA simulator (700 million points) and real data acquired in the city of Paris (60 million points), hence the name Paris-CARLA-3D.
no code implementations • 27 May 2020 • Leonardo Gigli, B Ravi Kiran, Thomas Paul, Andres Serna, Nagarjuna Vemuri, Beatriz Marcotegui, Santiago Velasco-Forero
In our experiments the low resolution 16/32 layer LIDAR point clouds are simulated by subsampling the original 64 layer data, for subsequent transformation in to a feature map in the Bird-Eye-View (BEV) and SphericalView (SV) representations of the point cloud.
9 code implementations • ICCV 2019 • Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, Leonidas J. Guibas
Furthermore, these locations are continuous in space and can be learned by the network.
Ranked #1 on 3D Semantic Segmentation on DALES
no code implementations • 1 Aug 2018 • Hugues Thomas, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, Yann Le Gall
This paper introduces a new definition of multiscale neighborhoods in 3D point clouds.
Ranked #12 on Semantic Segmentation on Semantic3D
no code implementations • 13 Jun 2013 • Jorge Hernandez, Beatriz Marcotegui
By assuming that the artifacts are on the ground, they are detected using a Top-Hat of the hole filling algorithm of range images.