SAMMiCA / SectorGSnet
☆19Updated 3 years ago
Alternatives and similar repositories for SectorGSnet:
Users that are interested in SectorGSnet are comparing it to the libraries listed below
- An extremely simple, intuitive, hardware-friendly, and well-performing network structure for LiDAR semantic segmentation on 2D range imag…☆68Updated 3 years ago
- A LiDAR point cloud cluster for panoptic segmentation☆85Updated 3 years ago
- PyTorch code for training EfficientLPS for LiDAR panoptic segmentation. https://rl.uni-freiburg.de/research/lidar-panoptic☆94Updated last year
- Code for Paper "Self-Supervised LiDAR Scene Flow and Motion Segmentation"☆60Updated last year
- ☆25Updated 3 years ago
- Rangenet++ with high-version TensorRT (e.g.8~10), libtorch, CUDA programming.☆52Updated last month
- A ROS package for LiDAR's Bird's Eye View projection.☆87Updated 2 years ago
- Automatic Labeling to Generate Training Data for Online LiDAR-based Moving Object Segmentation☆95Updated 2 years ago
- Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.☆79Updated 6 months ago
- Collect paper about ground segmentation in 3D point cloud.☆49Updated 3 years ago
- A C++ version for "A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles" 2018 ITSC☆71Updated 3 years ago
- ☆70Updated 3 years ago
- Awesome paper/code for point clouds with deep learning methods in detection and tracking☆36Updated last year
- A hybrid SOTA solution of LiDAR panoptic segmentation with C++ implementations of point cloud clustering algorithms. ICCV21, Workshop on …☆142Updated 3 years ago
- RANSAC segmentation-based ground removal for 3D LiDAR point clouds.☆81Updated 4 years ago
- The first tensorrt implementation for point-based 3d detector, i.e., 3DSSD,SASA,IA-SSD.☆58Updated last year
- The implementation of "A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles"☆20Updated 4 years ago
- Official PyTorch implementation of the paper “LCCNet: Lidar and Camera Self-Calibration usingCost Volume Network”.☆101Updated 2 years ago
- [RA-L 2020] Official Tensorflow Implementation for "RGGNet: Tolerance Aware LiDAR-Camera Online Calibration with Geometric Deep Learning …☆56Updated 6 months ago
- Sets of tools to process the multi-modal data such as image, lidar points, radar and GNSS, including synchronization, camera-lidar-calibr…☆59Updated 4 years ago
- (3DV 2021) A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving A…☆37Updated last month
- This is an implement of Fast Segmentation of 3D Point Clouds for Ground Vehicles☆60Updated 3 years ago
- A non-learning geometry-based LiDAR depth completion model with components including outlier removal, normal calculation, distance transf…☆44Updated 3 years ago
- Open3D based Semantic KITTI LiDAR dataset visualization tool☆112Updated 4 years ago
- Official PyTorch implementation of the paper “LCCNet: Lidar and Camera Self-Calibration usingCost Volume Network”.☆50Updated 3 years ago
- An ROS implementation for paper "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance"☆28Updated last year
- Ground Segmentation, Floor Segmentation☆61Updated 4 years ago
- A 3D detection Pointpillars ROS deployment on Nvidia Jetson TX1/Xavier☆68Updated 2 years ago
- .pcd to .bin converter (python)☆49Updated 2 years ago
- EfficientLO-Net: Efficient 3D Deep LiDAR Odometry (PAMI 2023)☆83Updated last month