#Awesome#Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
3D LIDAR-based Graph SLAM
#数据仓库#An extension of Open3D to address 3D Machine Learning tasks
GAAS is an open-source program designed for fully autonomous VTOL(a.k.a flying cars) and drones. GAAS stands for Generalized Autonomy Aviation System.
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
#计算机科学#🎓Automatically Update CV Papers Daily using Github Actions
#Awesome#😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]
#博客#loam code noted in Chinese（loam中文注解版）