#Lidar-point-cloud

Showing 16 of 16 repositories tagged #lidar-point-cloud, ranked by stars

kuixu
kuixu
kitti_object_vis

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

Score
100
★ 1.2k ⑂ 234 +1/day
Jupyter Notebook
xinge008
xinge008
Cylinder3D

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

Score
0
★ 955 ⑂ 185
Python
MOLAorg
MOLAorg
mola

A Modular Optimization framework for Localization and mApping (MOLA)

Score
100
★ 954 ⑂ 139 +1/day
C++
GuanRunwei
GuanRunwei
Awesome-Vision-Transformer-Collection

Variants of Vision Transformer and its downstream tasks

Score
40
★ 256 ⑂ 28
xuanyuzhou98
xuanyuzhou98
SqueezeSegV2

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

Score
80
★ 244 ⑂ 69
Python
AnshMittal1811
AnshMittal1811
MachineLearning-AI

This repository contains all the work that I regularly did and studied from Medium blogs, several research papers, and other Repos (related/unrelated to the research papers).

Score
60
★ 214 ⑂ 54
Jupyter Notebook
xiaoqiang-cheng
xiaoqiang-cheng
Oviz

A novel visual tool

Score
60
★ 184 ⑂ 14
Python
GrayboxTech
GrayboxTech
weightslab

PyTorch dataset debugger for computer vision — pause training, mine live loss signals to surface mislabels, class imbalance & outliers, then curate your image, video & LiDAR data without restarting

Score
0
★ 133 ⑂ 1 +9/day
Python
GIScience
GIScience
helios

HELIOS - the Heidelberg LiDAR Operations Simulator - is a software package for interactive real-time simulation and visualisation of terrestrial, mobile and airborne laser scan surveys written in Java.

Score
40
★ 99 ⑂ 40 +1/day
Java
AutoAILab
AutoAILab
FusionDepth

Official implementation for paper "Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR"

Score
20
★ 95 ⑂ 7
Python
egolens
egolens
egolens

Browser-based 3D perception explorer for Waymo, nuScenes, and Argoverse 2

Score
80
★ 72 ⑂ 10 +1/day
TypeScript
jac99
jac99
Egonn

EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale

Score
0
★ 65 ⑂ 8
Python
kcg2015
kcg2015
lidar_ground_plane_and_obstacles_detections

Python and C++ examples that show shows how to process 3-D Lidar data by segmenting the ground plane and finding obstacles.

Score
20
★ 46 ⑂ 17
Jupyter Notebook
pyaf
pyaf
nuscenes_viz

A tool to visualize nuscenes format dataset in 3D using mayavi

Score
0
★ 44 ⑂ 9
Python
worldbench
worldbench
U4D

[CVPR 2026 Highlight] U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences

Score
100
★ 28 ⑂ 1 +1/day
Python
MOVIN3D
MOVIN3D
movin_pg2023

Official implementation for "MOVIN: Real-time Motion Capture using a Single LiDAR"

Score
0
★ 19 ⑂ 0
Related Topics
#computer-vision#visualization#lidar#deep-learning#autonomous-driving#nuscenes#point-cloud#pytorch#self-supervised-learning#deep-neural-networks#convolutional-neural-networks#machine-learning

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