Statistics for topic lidar
RepositoryStats tracks 584,797 Github repositories, of these 293 are tagged with the lidar topic. The most common primary language for repositories using this topic is C++ (124). Other languages include: Python (102), Jupyter Notebook (11)
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Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"
A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
GLIM: versatile and extensible range-based 3D localization and mapping framework
Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"
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.
[IJRR2024] The official repository for the WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Natural Environments
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...
A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]
Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"
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...
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
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...
Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"
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.
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...
Arduino LiDAR library supporting YDLIDAR X2/X3/X4, RPLIDAR A1, Xiaomi LDS02RR, Neato XV11, LD14P, CAMSENSE X1, Delta-2A/2B/2G
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
GLIM: versatile and extensible range-based 3D localization and mapping framework
Official implementation of αLiDAR: An Adaptive High-Resolution Panoramic LiDAR System
Single-shot, Pixel-level, Target-free and General LiDAR-Camera Extrinsic Self-Calibration
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.
Autonomous Mobile Robot developed and programmed in the online course named "Self-Driving and ROS 2 - Learn By Doing! Map & Localization"
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on ScanContext, Quatro, and Nano-GICP
[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
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
GLIM: versatile and extensible range-based 3D localization and mapping framework
LiDAR degeneracy dataset for LiDAR-radar-inertial fusion methods.
💫 [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
LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models (ICRA 2024)