Repositories
lovelyyoshino repositories
Official code base for LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
Learn OpenCV : C++ and Python Examples
支持自动识别RLDS和HDF5格式,自动解析成LeRobotDataSet格式,支持多线程操作
(ICRA 2025) LiLoc: Lifelong Localization using Adaptive Submap Joining and Egocentric Factor Graph
本项目是为了完成室内机器人重建项目的开发
FAST-LIVO+gaussian-splatting
https://lovelyyoshino.github.io/
A general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points or line) map. 3)Fusion framework with IMU, wheel odom and GPS sensors.
在努力理解这个框架中,缓更
Sample code for marginalization of SLAM, Visual-Inertial Odometry.
Lightweighted graph optimization (Factor graph) library.
:keyboard: A modular framework for comparing different algorithms used in mapping and localization.
[CVPR'24 Highlight] Gaussian Splatting SLAM
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