Stars
LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
chess board corner extraction and chess board recovery "Automatic Camera and Range Sensor Calibration using a single Shot"
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Mission Planner Ground Control Station for ArduPilot (c# .net)
ArduPlane, ArduCopter, ArduRover, ArduSub source
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
A visual-inertial SLAM framework integrated deep learning features
Online video stabilization using a novel MeshFlow motion model
[IROS 2020] Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
DynaVINS : A Visual-Inertial SLAM for Dynamic Environments
COVINS-(G) -- A (Generic) Framework for Collaborative Visual-Inertial SLAM and Multi-Agent 3D Mapping
Effortless data labeling with AI support from Segment Anything and other awesome models.
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
[ICRA'23] The official Implementation of "Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras"
PLVS is a real-time SLAM system with points, lines, volumetric mapping and 3D unsupervised incremental segmentation.
🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
OpenREALM is a pipeline for real-time aerial mapping utilizing visual SLAM and 3D reconstruction frameworks.
Example of using move_base with mavros/px4 and rtabmap visual SLAM