utiasASRL / pyboreasLinks
Devkit for the Boreas autonomous driving dataset.
☆109Updated last week
Alternatives and similar repositories for pyboreas
Users that are interested in pyboreas are comparing it to the libraries listed below
Sorting:
- Automatic Labeling to Generate Training Data for Online LiDAR-based Moving Object Segmentation☆102Updated 3 years ago
- ☆78Updated last year
- Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments☆138Updated last year
- Unsupervised radar odometry combining deep learning with classical state estimation☆108Updated 3 years ago
- A LiDAR point cloud cluster for panoptic segmentation☆86Updated 4 years ago
- aiMotive public dataset☆50Updated 2 years ago
- A ROS package for LiDAR's Bird's Eye View projection.☆97Updated 3 years ago
- [CVPR'23] TARL: Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving☆109Updated last year
- A simple yet effective framework for LiDAR-based moving object segmentation.☆90Updated 2 years ago
- Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation (RAL 2023)☆181Updated 2 months ago
- Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Sequences, RA-L, 2023☆65Updated last year
- ROS package to publish the KITTI-360 dataset.☆69Updated last year
- Tutorial on Autonomous Vehicles' mapping algorithm with Occupancy Grid Map and Dynamic Grid Map using KITTI Dataset☆46Updated last year
- NTU 4D Radar-centric Multi-Modal Dataset for Localization and Mapping (NTU4DRadLM)☆163Updated last year
- LiPC: LiDAR Point Cloud Clustering Benchmark Suite☆103Updated last year
- Implementation for the paper: AutoPlace: Robust Place Recognition with Single-chip Automotive Radar☆108Updated 3 years ago
- Official implementation of "Reflectivity is all you need!: Advancing LiDAR semantic segmentation"☆26Updated 3 months ago
- Python implementation of LOAM algorithm by Ji Zhang and Sanjiv Singh☆86Updated 2 years ago
- Python implementation of LOAM (Lidar Odometry and Mapping) for rapid prototyping or educational purpose☆58Updated 4 years ago
- This is an implement of Fast Segmentation of 3D Point Clouds for Ground Vehicles☆67Updated 4 years ago
- Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions (RAL 2022)☆320Updated 2 months ago
- [IROS 23] InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data☆151Updated 4 months ago
- ☆89Updated 8 months ago
- Official implementation: ICP-Flow: LiDAR Scene Flow Estimation with ICP (CVPR 2024).☆118Updated 6 months ago
- (3DV 2021) A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving A…☆50Updated 7 months ago
- RANSAC segmentation-based ground removal for 3D LiDAR point clouds.☆84Updated 5 years ago
- Pytorch implementation of CalibNet☆49Updated 4 months ago
- PCPNet: An Efficient and Semantic-Enhanced Transformer Network for Point Cloud Prediction.☆33Updated 2 years ago
- Learning to map in 3D☆89Updated 3 years ago
- [TIE 2022] SeqOT: A Spatial-Temporal Transformer Network for Place Recognition Using Sequential LiDAR Data.☆109Updated 2 years ago