Louis Wiesmann

収録論文 9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

• Improving Map Consistency in Graph-Based LiDAR SLAM Through Information-Aware Odometry and Retroactive Loop Closure
  2026/7/1
• Improving Indoor Localization Accuracy by Using an Efficient Implicit Neural Map Representation
  2025/3/1
• PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map
  2025/2/1
• Efficient LiDAR Bundle Adjustment for Multi-Scan Alignment Utilizing Continuous-Time Trajectories
  2024/12/1
• PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency
  2024/1/1
• LIO-EKF: High Frequency LiDAR-Inertial Odometry using Extended Kalman Filters
  2023/11/1
• KISS-ICP: In Defense of Point-to-Point ICP -- Simple, Accurate, and Robust Registration If Done the Right Way
  2022/9/1
• Robust Onboard Localization in Changing Environments Exploiting Text Spotting
  2022/3/1
• Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data
  2021/5/1