Louis Wiesmann

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研究焦点

主要成就

代表论文

1. 1
   KISS-ICP: In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done the Right Way

   435 次引用 · 2023
2. 2
   Moving Object Segmentation in 3D LiDAR Data: A Learning-Based Approach Exploiting Sequential Data

   237 次引用 · 2021
3. 3
   Deep Compression for Dense Point Cloud Maps

   99 次引用 · 2021
4. 4
   PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency

   68 次引用 · 2024
5. 5
   LocNDF: Neural Distance Field Mapping for Robot Localization

   31 次引用 · 2023
6. 6
   Static map generation from 3D LiDAR point clouds exploiting ground segmentation

   29 次引用 · 2022
7. 7
   Retriever: Point Cloud Retrieval in Compressed 3D Maps

   26 次引用 · 2022
8. 8
   Robust Onboard Localization in Changing Environments Exploiting Text Spotting

   26 次引用 · 2022
9. 9
   LIO-EKF: High Frequency LiDAR-Inertial Odometry using Extended Kalman Filters

   25 次引用 · 2024
10. 10
    Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments

    20 次引用 · 2022

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