SalsaNext

LiDAR point cloud seg

A deep learning framework for real-time uncertainty-aware semantic segmentation of LiDAR point clouds for autonomous driving applications.

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

GitHub

415 stars
19 watching
102 forks
Language: Python
last commit: about 1 month ago
Linked from 1 awesome list

3d-lidar-databayesian-networkdecoderencoderjaccardlidarlidar-point-cloudssemantic-segmentationsemantickitti

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
matlab-deep-learning/pretrained-salsanext Provides pre-trained deep learning model for semantic segmentation of 3D point clouds using SalsaNext architecture 14
bichenwuucb/squeezeseg Implementation of SqueezeSeg, a deep neural network model for segmenting 3D LiDAR point clouds into road objects and other features 566
peiyunh/opcseg This project provides an implementation of an algorithm for optimal segmentation of 3D point clouds from LiDAR scans 23
loicland/superpoint_graph Large-scale point cloud semantic segmentation with graph-structured feature representation 763
edwardzhou130/polarseg A PyTorch implementation of an online LiDAR point cloud segmentation neural network that provides near-real-time results 378
layumi/seg-uncertainty A deep learning framework for unsupervised scene adaptation with memory regularization and pseudo label learning via uncertainty estimation 387
qingyonghu/randla-net A deep learning framework for efficient semantic segmentation of large-scale 3D point clouds 1,312
matlab-deep-learning/pretrained-deeplabv3plus Provides pre-trained and customizable semantic segmentation model in MATLAB 23
erogol/seg-torch Custom image segmentation implementation using deep learning with Lua and Torch 37
idegelis/torch-points3d-siamesekpconv A deep learning framework for 3D point cloud analysis, specifically for change detection and segmentation tasks. 31
mshiv/sat-seg Develops semantic segmentation of satellite images using deep learning techniques 10
apburt/treeseg Extracts individual trees from high-density lidar point clouds using machine learning and computer vision techniques 214
autolidarperception/segmenters_lib A C++ library providing tools for segmenting point clouds from LiDAR data in ROS 411
virtual-vehicle/pointcloudset A Python library for analyzing large datasets of 3D point clouds recorded over time in an efficient way. 44
sacmehta/espnet A deep learning framework for semantic segmentation on edge devices. 541