Cedric Le Gentil

Orcid: 0000-0002-9790-5935

According to our database1, Cedric Le Gentil authored at least 27 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Accurate Gaussian-Process-Based Distance Fields With Applications to Echolocation and Mapping.
IEEE Robotics Autom. Lett., February, 2024

Gaussian Process Distance Fields Obstacle and Ground Constraints for Safe Navigation.
CoRR, 2024

2FAST-2LAMAA: A Lidar-Inertial Localisation and Mapping Framework for Non-Static Environments.
CoRR, 2024

Real-Time Truly-Coupled Lidar-Inertial Motion Correction and Spatiotemporal Dynamic Object Detection.
CoRR, 2024

Mixing Data-driven and Geometric Models for Satellite Docking Port State Estimation using an RGB or Event Camera.
CoRR, 2024

Safe Bubble Cover for Motion Planning on Distance Fields.
CoRR, 2024

VDB-GPDF: Online Gaussian Process Distance Field with VDB Structure.
CoRR, 2024

Towards Robust Perception for Assistive Robotics: An RGB-Event-LiDAR Dataset and Multi-Modal Detection Pipeline.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023
Log-GPIS-MOP: A Unified Representation for Mapping, Odometry, and Planning.
IEEE Trans. Robotics, October, 2023

Continuous latent state preintegration for inertial-aided systems.
Int. J. Robotics Res., September, 2023

Dynamic Object Detection in Range data using Spatiotemporal Normals.
CoRR, 2023

Accurate Gaussian Process Distance Fields with applications to Echolocation and Mapping.
CoRR, 2023

Pseudo Inputs Optimisation for Efficient Gaussian Process Distance Fields.
IROS, 2023

Continuous-Time Gaussian Process Motion-Compensation for Event-Vision Pattern Tracking with Distance Fields.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Global Localisation in Continuous Magnetic Vector Fields Using Gaussian Processes.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
GPGM-SLAM: a Robust SLAM System for Unstructured Planetary Environments with Gaussian Process Gradient Maps.
Field Robotics, March, 2022

A Tightly-Coupled Event-Inertial Odometry using Exponential Decay and Linear Preintegrated Measurements.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021
Gaussian Process Preintegration for Inertial-Aided Navigation Systems
PhD thesis, 2021

IN2LAAMA: Inertial Lidar Localization Autocalibration and Mapping.
IEEE Trans. Robotics, 2021

Continuous Integration over SO(3) for IMU Preintegration.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

2020
Gaussian Process Preintegration for Inertial-Aided State Estimation.
IEEE Robotics Autom. Lett., 2020

Information Driven Self-Calibration for Lidar-Inertial Systems.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

IDOL: A Framework for IMU-DVS Odometry using Lines.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
IN2LAAMA: INertial Lidar Localisation Autocalibration And MApping.
CoRR, 2019

IN2LAMA: INertial Lidar Localisation And MApping.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
3D Lidar-IMU Calibration Based on Upsampled Preintegrated Measurements for Motion Distortion Correction.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018


  Loading...