Cedric Le Gentil

収録論文 28本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• Scalix: 不確実性を考慮したスケール一貫性のある単眼SLAM
  SLAM2026/8/18

  単眼SLAMのスケール曖昧性を解決するため、学習された深度情報を確率的因子グラフに統合し、ピクセル単位とフレーム単位の不確実性を考慮してメートルスケールの状態推定を実現するフレームワークを提案した。

• Dr-PoGO: Direct Radar Pose-Graph Optimization
  2026/5/1
• Dr-BA: Separable Optimization for Direct Radar Bundle Adjustment & Localization
  2026/5/1
• BIEVR-LIO: Robust LiDAR-Inertial Odometry through Bump-Image-Enhanced Voxel Maps
  2026/4/1
• 3DRO: Lidar-level SE(3) Direct Radar Odometry Using a 2D Imaging Radar and a Gyroscope
  2026/4/1
• Towards Robot Skill Learning and Adaptation with Gaussian Processes
  2026/3/1
• Boreas Road Trip: A Multi-Sensor Autonomous Driving Dataset on Challenging Roads
  2026/2/1
• Revisiting Continuous-Time Trajectory Estimation via Gaussian Processes and the Magnus Expansion
  2026/1/1
• Mag-Match: Magnetic Vector Field Features for Map Matching and Registration
  2025/8/1
• Towards Efficient Occupancy Mapping via Gaussian Process Latent Field Shaping
  2025/6/1
• Do We Still Need to Work on Odometry for Autonomous Driving?
  2025/5/1
• DRO: Doppler-Aware Direct Radar Odometry
  2025/4/1
• Balancing Act: Trading Off Odometry and Map Registration for Efficient Lidar Localization
  2025/3/1
• Real-Time Truly-Coupled Lidar-Inertial Motion Correction and Spatiotemporal Dynamic Object Detection
  2024/10/1
• 2Fast-2Lamaa: Large-Scale Lidar-Inertial Localization and Mapping with Continuous Distance Fields
  2024/10/1
• Gaussian Process Distance Fields Obstacle and Ground Constraints for Safe Navigation
  2024/10/1
• Mixing Data-driven and Geometric Models for Satellite Docking Port State Estimation using an RGB or Event Camera
  2024/9/1
• Towards Robust Perception for Assistive Robotics: An RGB-Event-LiDAR Dataset and Multi-Modal Detection Pipeline
  2024/8/1
• Safe Bubble Cover for Motion Planning on Distance Fields
  2024/8/1
• VDB-GPDF: Online Gaussian Process Distance Field with VDB Structure
  2024/7/1
• Dynamic Object Detection in Range data using Spatiotemporal Normals
  2023/10/1
• Continuous-Time Gaussian Process Motion-Compensation for Event-vision Pattern Tracking with Distance Fields
  2023/3/1
• Accurate Gaussian-Process-based Distance Fields with applications to Echolocation and Mapping
  2023/2/1
• Log-GPIS-MOP: A Unified Representation for Mapping, Odometry and Planning
  2022/6/1
• GPGM-SLAM: a Robust SLAM System for Unstructured Planetary Environments with Gaussian Process Gradient Maps
  2021/9/1
• Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments
  2020/9/1
• IDOL: A Framework for IMU-DVS Odometry using Lines
  2020/8/1
• IN2LAAMA: INertial Lidar Localisation Autocalibration And MApping
  2019/5/1