#Lidar
Showing 47 of 47 repositories tagged #lidar, ranked by stars
A curated list of awesome data labeling tools
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
An extension of Open3D to address 3D Machine Learning tasks
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
πAutomatically Update CV Papers Daily using Github Actions
A Modular Optimization framework for Localization and mApping (MOLA)
ROS 2 LiDAR SLAM for pointcloud-map authoring, benchmarking, and Autoware-compatible map workflows.
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
State of the art autonomous navigation scripts using Ai, Computer Vision, Lidar and GPS to control an arducopter based quad copter.
Example Of iOS ARKit LiDAR
3D LIDAR Localization using NDT/GICP and pointcloud map in ROS 2 (Not SLAM)
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]
Python bindings for the Point Cloud Library (PCL)
Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.
[ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Birdβs-Eye-View Representation"
π± Night Vision - LiDAR Scanner, iOS application developed based on React Native | ε€θ§δ»ͺ - ζΏε ι·θΎΎζ«ζζεοΌεΊδΊ React Native εΌεη iOS εΊη¨γApp Store ζε 27 π₯
[CVPR 2026 Oral] WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World
[AAAI 2026 Oral] LiDARCrafter: Dynamic 4D World Modeling from LiDAR Sequences
Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting
A toolkit designed to unify and streamline the evaluation of object detection and segmentation models across different sensor modalities, frameworks, and datasets.
ποΈ [IEEE ICRA2023] The official repository for paper "Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments" To appear in 2023 IEEE International Conference on Robotics and Automation (ICRA)
[ICRA 2025] Interactive4D: Interactive 4D LiDAR Segmentation
Creates a dense depth map from LiDAR point clouds.
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.
π₯(CVPR 2023) Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation
Official implementation for paper "Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR"
TUM Traffic Dataset Development Kit
A graphical user interface to annotate point clouds and 3D data.
Visualization, processing and analysis of Lidar point clouds, mainly focused on forest environment. New version of 3D Forest. Process files with terabytes of data. Edit new point attributes. Simple addition of new features by plugins.
Tightly coupled lidar-visual-inertial slam using the fuse framework
Scan the environment and create a textured mesh with ARKit
[IV2024] MultiCorrupt: A benchmark for robust multi-modal 3D object detection, evaluating LiDAR-Camera fusion models in autonomous driving. Includes diverse corruption types (e.g., misalignment, miscalibration, weather) and severity levels. Assess model performance under challenging conditions.
[IJRR2024] The official repository for the WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Natural Environments
Source code of the rust implementation of Karttapullautin
OpenDLV - A modern microservice-based software ecosystem powered by libcluon to make vehicles autonomous.
Machine learning based line following using TurtleBot3 with ROS2 Jazzy and Gazebo Harmonic
Browser-based 3D perception explorer for Waymo, nuScenes, and Argoverse 2
An extended Kalman Filter implementation in Python for fusing lidar and radar sensor measurements
Vision Benchmark in Rome Development Kit
Visualization of vehicle position and pose estimation in Google Earth
interfaces and algorithms for event based cameras, lidars, and actuators
Python and C++ examples that show shows how to process 3-D Lidar data by segmenting the ground plane and finding obstacles.
[CVPR 2026 Highlight] U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences