Research map / Point clouds / Point cloud classification
TransLO: A Window-Based Masked Point Transformer Framework for Large-Scale LiDAR Odometry
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use TransLO instead of LOAM with mapping | LiDAR odometry · KITTI odometry 07-10 mean | translation RMSE (%): 1.278 -> 0.993 | Helped |
| use TransLO instead of LOAM with mapping | LiDAR odometry · KITTI odometry 07-10 mean | rotation RMSE (°/100m): 0.504 -> 0.500 | Helped |
| use TransLO instead of Nubert et al. | LiDAR odometry · KITTI odometry 09/10 mean | translation RMSE (%): 1.660 -> 1.210 | Helped |
| use TransLO instead of Nubert et al. | LiDAR odometry · KITTI odometry 09/10 mean | rotation RMSE (°/100m): 0.685 -> 0.590 | Helped |
| use TransLO instead of LodoNet | LiDAR odometry · KITTI odometry 07/08 mean | translation RMSE (%): 1.950 -> 0.965 | Helped |
| use TransLO instead of LodoNet | LiDAR odometry · KITTI odometry 07/08 mean | rotation RMSE (°/100m): 1.305 -> 0.420 | Helped |
| add projection-aware mask and MCFA (ablation) | TransLO · KITTI odometry 07-10 mean | translation RMSE (%): 1.590 -> 0.993 | Helped |
| add projection-aware mask and MCFA (ablation) | TransLO · KITTI odometry 07-10 mean | rotation RMSE (°/100m): 0.848 -> 0.500 | Helped |
| add MCFA (ablation) | TransLO · KITTI odometry 07-10 mean | translation RMSE (%): 1.158 -> 0.993 | Helped |
| add MCFA (ablation) | TransLO · KITTI odometry 07-10 mean | rotation RMSE (°/100m): 0.610 -> 0.500 | Helped |
| add WMSA (ablation) | TransLO · KITTI odometry 07-10 mean | translation RMSE (%): 1.590 -> 0.993 | Helped |
| add WMSA (ablation) | TransLO · KITTI odometry 07-10 mean | rotation RMSE (°/100m): 0.848 -> 0.500 | Helped |
Closest papers by meaning
- TULIP: Transformer for Upsampling of LiDAR Point Clouds (CVPR 2024 · similarity 0.87)
- PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection (CVPR 2024 · similarity 0.87)
- A Consistency-Aware Spot-Guided Transformer for Versatile and Hierarchical Point Cloud Registration (NeurIPS 2024 · similarity 0.86)
- Point Transformer V3: Simpler Faster Stronger (CVPR 2024 · similarity 0.85)
- DiffLO: Semantic-Aware LiDAR Odometry with Diffusion-Based Refinement (CVPR 2025 · similarity 0.85)
- DeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors (AAAI 2024 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
