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Antoine Richard
Antoine Richard
Research Associate, University of Luxembourg
Bestätigte E-Mail-Adresse bei uni.lu
Titel
Zitiert von
Zitiert von
Jahr
Data-driven estimation of actual evapotranspiration to support irrigation management: Testing two novel methods based on an unoccupied aerial vehicle and an artificial neural …
O Rozenstein, L Fine, N Malachy, A Richard, C Pradalier, J Tanny
Agricultural Water Management 283, 108317, 2023
72023
Semantic nearest neighbor fields monocular edge visual-odometry
X Wu, A Benbihi, A Richard, C Pradalier
arXiv preprint arXiv:1904.00738, 2019
72019
Introducing state-of-the-art deep learning technique for gap-filling of eddy covariance crop evapotranspiration data
L Fine, A Richard, J Tanny, C Pradalier, R Rosa, O Rozenstein
Water 14 (5), 763, 2022
62022
How to train your heron
A Richard, S Aravecchia, T Schillaci, M Geist, C Pradalier
IEEE Robotics and Automation Letters 6 (3), 5247-5252, 2021
62021
Filling gaps in micro-meteorological data
A Richard, L Fine, O Rozenstein, J Tanny, M Geist, C Pradalier
Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021
52021
REALMS: Resilient exploration and lunar mapping system
D Van Der Meer, L Chovet, A Bera, A Richard, PJ Sánchez Cuevas, ...
Frontiers in Robotics and AI 10, 1127496, 2023
42023
Deep learning for the detection of semantic features in tree X-ray CT scans
S Khazem, A Richard, J Fix, C Pradalier
Artificial Intelligence in Agriculture 7, 13-26, 2023
42023
Automated segmentation of land use from overhead imagery
A Richard, A Benbihi, C Pradalier, V Perez, R Van Couwenberghe
International Conference on Precision Agriculture, 2018
42018
Enabling elements of simulations digital twins and its applicability for information superiority in defence domain
K Aggarwal, E Bögel, M La Rosa Betancourt, M Collier-Wright, M Brake, ...
Modelling and & Simulation Group (NMSG) Symposium 2022 STO-MP-MSG-197, 2022
32022
A comprehensive benchmark of neural networks for system identification
A Richard, A Mahé, C Pradalier, O Rozenstein, M Geist
32019
Learning behaviors through physics-driven latent imagination
A Richard, S Aravecchia, M Geist, C Pradalier
Conference on Robot Learning, 1190-1199, 2022
22022
RANS: Highly-Parallelised Simulator for Reinforcement Learning based Autonomous Navigating Spacecrafts
M El-Hariry, A Richard, M Olivares-Mendez
arXiv preprint arXiv:2310.07393, 2023
12023
GPS-aided Visual Wheel Odometry
J Song, PJ Sanchez-Cuevas, A Richard, M Olivares-Mendez
2023 IEEE 26th International Conference on Intelligent Transportation …, 2023
12023
Nvidia Omniverse for Active Space Debris Removal Missions, an Overview
X Li, A Richard, OO Loumpasefski, BC Yalcin, C Martinez Luna, ...
Clean Space Industry Days 2022, 2022
12022
Evaluation of prioritized deep system identification on a path following task
A Mahé, A Richard, S Aravecchia, M Geist, C Pradalier
Journal of Intelligent & Robotic Systems 101 (4), 78, 2021
12021
Importance sampling for deep system identification
A Mahé, A Richard, B Mouscadet, C Pradalier, M Geist
2019 19Th International Conference on Advanced Robotics (ICAR), 43-48, 2019
12019
Joint Spatial-Temporal Calibration for Camera and Global Pose Sensor
J Song, A Richard, M Olivares-Mendez
arXiv preprint arXiv:2403.00976, 2024
2024
GraspLDM: Generative 6-DoF Grasp Synthesis using Latent Diffusion Models
KR Barad, A Orsula, A Richard, J Dentler, M Olivares-Mendez, C Martinez
arXiv preprint arXiv:2312.11243, 2023
2023
DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories
M El-Hariry, A Richard, V Muralidharan, BC Yalcin, M Geist, ...
arXiv preprint arXiv:2310.04266, 2023
2023
Next-Best-View selection from observation viewpoint statistics
S Aravecchia, A Richard, M Clausel, C Pradalier
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
2023
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