Trending repositories for topic lidar
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
Unitree Go2 simulation platform for testing navigation, decision-making and autonomous tasks. (NVIDIA Isaac/ROS2)
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
A differential drive robot is controlled using ROS2 Humble running on a Raspberry Pi 4 (running Ubuntu server 22.04). The vehicle is equipped with a raspberry pi camera for visual feedback and an RPli...
A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method
[CVPR 2024] Official implementation of "Towards Realistic Scene Generation with LiDAR Diffusion Models"
ROS/ROS2 enabled Sensor models (Assets) on Unity
深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch，激光雷达Lidar避障，激光雷达仿真模拟，Adaptive-SAC
Dynamic SLAM, Life-long SLAM Research(Lidar, Visual, Sensor Fusion etc.)
🎓Automatically Update CV Papers Daily using Github Actions (Update Every 2days)
Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.
Unitree Go2 simulation platform for testing navigation, decision-making and autonomous tasks. (NVIDIA Isaac/ROS2)
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
A differential drive robot is controlled using ROS2 Humble running on a Raspberry Pi 4 (running Ubuntu server 22.04). The vehicle is equipped with a raspberry pi camera for visual feedback and an RPli...
A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method
[CVPR 2024] Official implementation of "Towards Realistic Scene Generation with LiDAR Diffusion Models"
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
ROS/ROS2 enabled Sensor models (Assets) on Unity
深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch，激光雷达Lidar避障，激光雷达仿真模拟，Adaptive-SAC
Dynamic SLAM, Life-long SLAM Research(Lidar, Visual, Sensor Fusion etc.)
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
🎓Automatically Update CV Papers Daily using Github Actions (Update Every 2days)
Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
GLIM: versatile and extensible range-based 3D localization and mapping framework
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch，激光雷达Lidar避障，激光雷达仿真模拟，Adaptive-SAC
Unitree Go2 simulation platform for testing navigation, decision-making and autonomous tasks. (NVIDIA Isaac/ROS2)
A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]
Official implementation of αLiDAR: An Adaptive High-Resolution Panoramic LiDAR System
Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22
Ground Segmentation from Lidar Point Clouds
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
[CVPR 2024] Official implementation of "Towards Realistic Scene Generation with LiDAR Diffusion Models"
A simple and easy-to-use learning-free MOS approach for point cloud data.
Unitree Go2 simulation platform for testing navigation, decision-making and autonomous tasks. (NVIDIA Isaac/ROS2)
Official implementation of αLiDAR: An Adaptive High-Resolution Panoramic LiDAR System
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch，激光雷达Lidar避障，激光雷达仿真模拟，Adaptive-SAC
A universal LiDAR and radar driver for ROS 2, supporting Hesai, Velodyne, Robosense and Continental sensors.
ROSMASTER X3 ROS Robot with Mecanum Wheel for Jetson NANO 4GB/ORIN NANO/ORIN NX/RaspberryPi 5
[CVPR 2024] Official implementation of "Towards Realistic Scene Generation with LiDAR Diffusion Models"
GLIM: versatile and extensible range-based 3D localization and mapping framework
A differential drive robot is controlled using ROS2 Humble running on a Raspberry Pi 4 (running Ubuntu server 22.04). The vehicle is equipped with a raspberry pi camera for visual feedback and an RPli...
A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]
3D LIDAR Localization using NDT/GICP and pointcloud map in ROS 2 (Not SLAM)
Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.
a SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on LIO-SAM paper
A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method
GLIM: versatile and extensible range-based 3D localization and mapping framework
Unitree Go2 simulation platform for testing navigation, decision-making and autonomous tasks. (NVIDIA Isaac/ROS2)
[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.
A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch，激光雷达Lidar避障，激光雷达仿真模拟，Adaptive-SAC
🎓Automatically Update CV Papers Daily using Github Actions (Update Every 2days)
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
Single-shot, Pixel-level, Target-free and General LiDAR-Camera Extrinsic Self-Calibration
Official implementation of αLiDAR: An Adaptive High-Resolution Panoramic LiDAR System
LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO application and com...
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.
An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
A simple and easy-to-use learning-free MOS approach for point cloud data.
Unitree Go2 simulation platform for testing navigation, decision-making and autonomous tasks. (NVIDIA Isaac/ROS2)
Single-shot, Pixel-level, Target-free and General LiDAR-Camera Extrinsic Self-Calibration
Official dataset and code for "ELMO: Enhanced Real-time LiDAR Motion Capture through Upsampling" and "MOVIN: Real-time Motion Capture using a Single LiDAR"
Official implementation of αLiDAR: An Adaptive High-Resolution Panoramic LiDAR System
Autonomous Mobile Robot developed and programmed in the online course named "Self-Driving and ROS 2 - Learn By Doing! Map & Localization"
深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch，激光雷达Lidar避障，激光雷达仿真模拟，Adaptive-SAC
[IROS 2023] Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking
A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method, and with ScanContext as a loop candidate detection method
GLIM: versatile and extensible range-based 3D localization and mapping framework
iKalibr: Unified Targetless Spatiotemporal Calibration for Resilient Integrated Inertial Systems
ROS 1 and ROS 2 node that converts sensor_msgs/PointCloud2 LIDAR data to nav_msgs/OccupancyGrid 2D map data based on intensity and / or height. 🤖
HeLiMOS: Heterogeneous LiDAR Dataset for Moving Object Segmentation @ IROS'2024
ROS implementation of Loop Closure for LiDAR SLAM.
3D DATA PROCESSING AND MODELING ESSENTIALS: A curated collection of tools, literature, courses, and datasets for mastering 3D point cloud technology.
[RA-L 2024] GRIL-Calib: Targetless Ground Robot IMU-LiDAR Extrinsic Calibration Method using Ground Plane Motion Constraints
[CVPR 2024] Official implementation of "Towards Realistic Scene Generation with LiDAR Diffusion Models"
iKalibr: Unified Targetless Spatiotemporal Calibration for Resilient Integrated Inertial Systems
[ICRA@40] MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System
💫 [CVPR 2024] LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis
A curated list of Place Recognition methods, datasets, and various algorithms for LiDAR
Official implementation of αLiDAR: An Adaptive High-Resolution Panoramic LiDAR System
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on ScanContext, Quatro, and Nano-GICP
This project allows the alignment and correction of LiDAR-based SLAM session data with a reference map or another session, also the retrieval of 6-DoF poses with accuracy of up to 3 cm given an accu...
Multi - LiDAR-to-LiDAR calibration framework for ROS2 and non-ROS applications
Single-shot, Pixel-level, Target-free and General LiDAR-Camera Extrinsic Self-Calibration
Unitree Go2 simulation platform for testing navigation, decision-making and autonomous tasks. (NVIDIA Isaac/ROS2)
Arduino LiDAR library supporting YDLIDAR X2/X3/X4, RPLIDAR A1, Xiaomi LDS02RR, Neato XV11, LD14P, CAMSENSE X1, Delta-2A/2B/2G
HeLiMOS: Heterogeneous LiDAR Dataset for Moving Object Segmentation @ IROS'2024
A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method, and with ScanContext as a loop candidate detection method
[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, misca...
Awesome 2D LiDAR list - specs, protocols, wiring, code, identification photos/videos, performance evaluations
[IROS 2023] Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
GLIM: versatile and extensible range-based 3D localization and mapping framework
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
🎓Automatically Update CV Papers Daily using Github Actions (Update Every 2days)
A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]
[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.
LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO application and com...
Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22
[RA-L 2024] GRIL-Calib: Targetless Ground Robot IMU-LiDAR Extrinsic Calibration Method using Ground Plane Motion Constraints
深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch，激光雷达Lidar避障，激光雷达仿真模拟，Adaptive-SAC
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"
💫 [CVPR 2024] LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis
Official implementation of αLiDAR: An Adaptive High-Resolution Panoramic LiDAR System
A curated list of Place Recognition methods, datasets, and various algorithms for LiDAR
GLIM: versatile and extensible range-based 3D localization and mapping framework
LiDAR degeneracy dataset for LiDAR-radar-inertial fusion methods.
iKalibr: Unified Targetless Spatiotemporal Calibration for Resilient Integrated Inertial Systems
Unofficial implementation of "MapCleaner" a method for removing moving objects from point cloud maps.
HeLiMOS: Heterogeneous LiDAR Dataset for Moving Object Segmentation @ IROS'2024
[RA-L 2024] GRIL-Calib: Targetless Ground Robot IMU-LiDAR Extrinsic Calibration Method using Ground Plane Motion Constraints
深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch，激光雷达Lidar避障，激光雷达仿真模拟，Adaptive-SAC
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on ScanContext, Quatro, and Nano-GICP
LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models (ICRA 2024)
Autoware 安装运行应用中文教程指南，包含部分关键代码注释。Manuals & Tutorials for Autoware in Chinese.
A fast and accurate map generator from classified LiDAR data.
P(oint) (e)Tudes lab: Lidar odometry, SLAM and visualization experiments
A differential drive robot is controlled using ROS2 Humble running on a Raspberry Pi 4 (running Ubuntu server 22.04). The vehicle is equipped with a raspberry pi camera for visual feedback and an RPli...
Using the KITTI dataset, we employed Open3D to visualize, downsample, segment with RANSAC, cluster via DBSCAN, create 3D bounding boxes, and perform surface reconstruction on point clouds.
A CUDA reimplementation of the line/plane odometry of LIO-SAM. A point cloud hash map (inspired by iVox of Faster-LIO) on GPU is used to accelerate 5-neighbour KNN search.