Statistics for topic lidar
RepositoryStats tracks 595,856 Github repositories, of these 301 are tagged with the lidar topic. The most common primary language for repositories using this topic is C++ (127). Other languages include: Python (104), Jupyter Notebook (11)
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GLIM: versatile and extensible range-based 3D localization and mapping framework
Official implementation of αLiDAR: An Adaptive High-Resolution Panoramic LiDAR System
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
[RA-L 2024] GRIL-Calib: Targetless Ground Robot IMU-LiDAR Extrinsic Calibration Method using Ground Plane Motion Constraints
Official implementation of αLiDAR: An Adaptive High-Resolution Panoramic LiDAR System
GLIM: versatile and extensible range-based 3D localization and mapping framework
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
[RA-L 2024] GRIL-Calib: Targetless Ground Robot IMU-LiDAR Extrinsic Calibration Method using Ground Plane Motion Constraints
GLIM: versatile and extensible range-based 3D localization and mapping framework
[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.
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
😎 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
Autonomous Mobile Robot developed and programmed in the online course named "Self-Driving and ROS 2 - Learn By Doing! Map & Localization"
3D DATA PROCESSING AND MODELING ESSENTIALS: A curated collection of tools, literature, courses, and datasets for mastering 3D point cloud technology.
GLIM: versatile and extensible range-based 3D localization and mapping framework
Information and resources about bathymetric data from NASA's ICESat-2 mission, created by the ICESat-2 Science Team Bathymetry Working Group.
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)
[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.
Unitree Go2 simulation platform for testing navigation, decision-making and autonomous tasks. (NVIDIA Isaac/ROS2)
Unofficial implementation of "MapCleaner" a method for removing moving objects from point cloud maps.
Single-shot, Pixel-level, Target-free and General LiDAR-Camera Extrinsic Self-Calibration
[IROS 2023] Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking
[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
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)
💫 [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
LiDAR degeneracy dataset for LiDAR-radar-inertial fusion methods.
GLIM: versatile and extensible range-based 3D localization and mapping framework