Point Cloud Library (PCL)
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Updated
Aug 29, 2026 - C++
Point Cloud Library (PCL)
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
🔥PCL(Point Cloud Library)点云库学习记录
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
A collection of GICP-based fast point cloud registration algorithms
🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
.NET's fastest JSON, JSV and CSV Text Serializers
loam code noted in Chinese(loam中文注解版)
Efficient and parallel algorithms for point cloud registration [C++, Python]
C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
Point cloud registration pipeline for robot localization and 3D perception
Multi-threaded and SSE friendly NDT algorithm
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等
☁️ ⚡ Point Cloud Library (PCL) for browser, powered by WebAssembly.|在浏览器运行的点云库 (PCL),由 WebAssembly 提供支持。
🔥3D-MOT(点云多目标检测和追踪C++) (2020 · 秋) 代码有详细注解
Python bindings for the Point Cloud Library (PCL)
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