359 citations
- École Nationale Supérieure des Mines de ParisFR32 papers
- Hôpital Saint-MichelFR28 papers
- Université Paris Sciences et LettresFR23 papers
- Centre de Robotique Intégrée d'Ile de FranceFR9 papers
- Valeo (France)FR5 papers
- École nationale des ponts et chausséesFR4 papers
- Safran (France)FR4 papers
- Sorbonne UniversitéFR4 papers
- Centre Automatique et SystèmesFR3 papers
- Institut national de recherche en sciences et technologies du numériqueFR3 papers
- University of EdinburghGB3 papers
- Aix-Marseille UniversitéFR2 papers
8 papers · 1 filter
Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping
Jean-Emmanuel Deschaud, David Duque, Jean Pierre Richa +3
Paris-CARLA-3D is a dataset of several dense colored point clouds of outdoor environments built by a mobile LiDAR and camera system. The data are composed of two sets with syntheti…
GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving
Raphael Chekroun, Marin Toromanoff, Sascha Hornauer +1
Deep reinforcement learning (DRL) has been demonstrated to be effective for several complex decision-making applications such as autonomous driving and robotics. However, DRL is no…
LENS: Localization enhanced by NeRF synthesis
Arthur Moreau, Nathan Piasco, Dzmitry Tsishkou +2
Neural Radiance Fields (NeRF) have recently demonstrated photo-realistic results for the task of novel view synthesis. In this paper, we propose to apply novel view synthesis to th…
TrouSPI-Net: Spatio-temporal attention on parallel atrous convolutions and U-GRUs for skeletal pedestrian crossing prediction
Joseph Gesnouin, Steve Pechberti, Bogdan Stanciulescu +1
Understanding the behaviors and intentions of pedestrians is still one of the main challenges for vehicle autonomy, as accurate predictions of their intentions can guarantee their…
KITTI-CARLA: a KITTI-like dataset generated by CARLA Simulator
Jean-Emmanuel Deschaud
KITTI-CARLA is a dataset built from the CARLA v0.9.10 simulator using a vehicle with sensors identical to the KITTI dataset. The vehicle thus has a Velodyne HDL64 LiDAR positioned…
Underreporting of errors in NLG output, and what to do about it
Emiel van Miltenburg, Miruna-Adriana Clinciu, Ondřej Dušek +8
We observe a severe under-reporting of the different kinds of errors that Natural Language Generation systems make. This is a problem, because mistakes are an important indicator o…