placeforyiming / IROS21-FIDNet-SemanticKITTILinks
An extremely simple, intuitive, hardware-friendly, and well-performing network structure for LiDAR semantic segmentation on 2D range image. IROS21
☆72Updated 3 years ago
Alternatives and similar repositories for IROS21-FIDNet-SemanticKITTI
Users that are interested in IROS21-FIDNet-SemanticKITTI are comparing it to the libraries listed below
Sorting:
- A LiDAR point cloud cluster for panoptic segmentation☆85Updated 3 years ago
- The official implementation of 4DenoiseNet☆56Updated 2 years ago
- Automatic Labeling to Generate Training Data for Online LiDAR-based Moving Object Segmentation☆99Updated 2 years ago
- [CVPR'23] TARL: Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving☆107Updated last year
- PyTorch code for training EfficientLPS for LiDAR panoptic segmentation. https://rl.uni-freiburg.de/research/lidar-panoptic☆97Updated last year
- ☆29Updated last year
- ☆88Updated 3 months ago
- [ICME 2022] CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving☆109Updated last year
- The official implementation of "Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation" (RA-L with IROS …☆47Updated 2 years ago
- Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting☆141Updated 8 months ago
- Collect paper about ground segmentation in 3D point cloud.☆51Updated 3 years ago
- LiDAR-CS Dataset☆54Updated 2 years ago
- Learning to map in 3D☆85Updated 3 years ago
- A simple yet effective framework for LiDAR-based moving object segmentation.☆85Updated last year
- The first tensorrt implementation for point-based 3d detector, i.e., 3DSSD,SASA,IA-SSD.☆61Updated 2 years ago
- Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving, RA-L, 2023☆59Updated last year
- (3DV 2021) A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving A…☆46Updated 3 months ago
- [IROS 2022] Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation☆249Updated 2 years ago
- This job is Non-official PyTorch implementation of the Range-Point-Voxel Funsion Network for lidar point cloud segmentation.☆57Updated 2 years ago
- Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.☆80Updated 10 months ago
- Official implementation: ICP-Flow: LiDAR Scene Flow Estimation with ICP (CVPR 2024).☆103Updated last month
- ☆71Updated 3 years ago
- ☆95Updated 11 months ago
- Code for Paper "Self-Supervised LiDAR Scene Flow and Motion Segmentation"☆63Updated last year
- Awesome paper/code for point clouds with deep learning methods in detection and tracking☆36Updated last year
- ☆31Updated 2 years ago
- The official code release of LidarMTL, a simple and efficient multi-task network for 3D object detection and road understanding☆108Updated 4 years ago
- Rangenet++ with high-version TensorRT (e.g.8~10), libtorch, CUDA programming.☆60Updated 6 months ago
- 🔥(ECCV 2024 Oral) RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation☆44Updated 10 months ago
- Code release for "Learning to Detect Mobile Objects from LiDAR Scans Without Labels" [CVPR 2022]☆89Updated 2 months ago