JingyangXiang / PointCloud-RecordLinks
记录点云SemanticKITTI论文阅读记录
☆18Updated 4 years ago
Alternatives and similar repositories for PointCloud-Record
Users that are interested in PointCloud-Record are comparing it to the libraries listed below
Sorting:
- The first tensorrt implementation for point-based 3d detector, i.e., 3DSSD,SASA,IA-SSD.☆63Updated 2 years ago
- this is a reproduction of my senior's graduation project☆14Updated 3 years ago
- Awesome paper/code for point clouds with deep learning methods in detection and tracking☆38Updated 2 years ago
- An extremely simple, intuitive, hardware-friendly, and well-performing network structure for LiDAR semantic segmentation on 2D range imag…☆73Updated 4 years ago
- A hybrid SOTA solution of LiDAR panoptic segmentation with C++ implementations of point cloud clustering algorithms. ICCV21, Workshop on …☆147Updated 4 years ago
- A list of open source code about point cloud curb detection (processing)☆47Updated 3 years ago
- LiDAR-CS Dataset☆57Updated 2 years ago
- ☆14Updated 2 years ago
- This job is Non-official PyTorch implementation of the Range-Point-Voxel Funsion Network for lidar point cloud segmentation.☆59Updated 2 years ago
- [IEEE TIM] Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain Robustness☆35Updated 3 years ago
- CenterPoint model trained with MMDetection3d on custom dataset, and deployed with TensorRT☆35Updated 2 years ago
- CIA-SSD ALL IN TensorRT,NMS not implemented in TensorRT,implemented in c++☆25Updated 3 years ago
- ☆35Updated 2 years ago
- Collect paper about ground segmentation in 3D point cloud.☆57Updated 4 years ago
- An ROS implementation for paper "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance"☆32Updated 2 years ago
- A LiDAR point cloud cluster for panoptic segmentation☆86Updated 4 years ago
- ☆32Updated 2 years ago
- This is the pytorch implementation of 3DAL proposed by Qi et. al, "Offboard 3D Object Detection from Point Cloud Sequences", CVPR 2021.☆20Updated 2 years ago
- PyTorch implementation of CNN-Based Lidar Point Cloud De-Noising in Adverse Weather☆31Updated 4 years ago
- Automatic Labeling to Generate Training Data for Online LiDAR-based Moving Object Segmentation☆104Updated 3 years ago
- The official implementation of "Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation" (RA-L with IROS …☆49Updated 2 years ago
- A summary and list of open source 3D multi object tracking and datasets at this stage.☆42Updated 3 years ago
- RANSAC segmentation-based ground removal for 3D LiDAR point clouds.☆85Updated 5 years ago
- A simple yet effective framework for LiDAR-based moving object segmentation.☆90Updated 2 years ago
- 50%+ Faster Cylinder3D, compatible with current PyTorch, CUDA, and Spconv versions☆54Updated last year
- [ICME 2022] CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving☆117Updated 2 years ago
- Rangenet++ with high-version TensorRT (e.g.8~10), libtorch, CUDA programming.☆66Updated last year
- PCPNet: An Efficient and Semantic-Enhanced Transformer Network for Point Cloud Prediction.☆33Updated 2 years ago
- LiSnowNet: Real-time Snow Removal for LiDAR Point Cloud☆44Updated 8 months ago
- PCDet_Infernece此节点主要用于实现基于激光雷达的目标检测，此框架是基于OpenPCDet封装到ros上。☆12Updated 4 years ago