no code implementations • 15 Mar 2024 • Hala Djeghim, Nathan Piasco, Moussab Bennehar, Luis Roldão, Dzmitry Tsishkou, Désiré Sidibé
SCILLA's hybrid architecture models two separate implicit fields: one for the volumetric density and another for the signed distance to the surface.
no code implementations • 14 Mar 2024 • Thang-Anh-Quan Nguyen, Luis Roldão, Nathan Piasco, Moussab Bennehar, Dzmitry Tsishkou
The task of separating dynamic objects from static environments using NeRFs has been widely studied in recent years.
no code implementations • 27 Nov 2023 • Quentin Herau, Nathan Piasco, Moussab Bennehar, Luis Roldão, Dzmitry Tsishkou, Cyrille Migniot, Pascal Vasseur, Cédric Demonceaux
In this paper, we leverage the ability of Neural Radiance Fields (NeRF) to represent different sensors modalities in a common volumetric representation to achieve robust and accurate spatio-temporal sensor calibration.
no code implementations • 26 May 2023 • Fusang Wang, Arnaud Louys, Nathan Piasco, Moussab Bennehar, Luis Roldão, Dzmitry Tsishkou
Neural Radiance Fields (NeRF) enable 3D scene reconstruction from 2D images and camera poses for Novel View Synthesis (NVS).
no code implementations • 6 Mar 2023 • Quentin Herau, Nathan Piasco, Moussab Bennehar, Luis Roldão, Dzmitry Tsishkou, Cyrille Migniot, Pascal Vasseur, Cédric Demonceaux
With the recent advances in autonomous driving and the decreasing cost of LiDARs, the use of multimodal sensor systems is on the rise.
2 code implementations • 24 Aug 2020 • Luis Roldão, Raoul de Charette, Anne Verroust-Blondet
We introduce a new approach for multiscale 3Dsemantic scene completion from voxelized sparse 3D LiDAR scans.
Ranked #4 on 3D Semantic Scene Completion on KITTI-360
no code implementations • 25 Jun 2019 • Luis Roldão, Raoul de Charette, Anne Verroust-Blondet
To achieve fully autonomous navigation, vehicles need to compute an accurate model of their direct surrounding.
no code implementations • 28 Sep 2018 • B Ravi Kiran, Luis Roldão, Benat Irastorza, Renzo Verastegui, Sebastian Suss, Senthil Yogamani, Victor Talpaert, Alexandre Lepoutre, Guillaume Trehard
In this paper, we discuss real-time dynamic object detection algorithms which leverages previously mapped Lidar point clouds to reduce processing.