Stars
This repository provides a synchronized stereo matching pipeline using OAK cameras, generating RGB-D images with disparity-based depth and integrated IMU data. The output is fully compatible with R…
The aim of this repository is to simulate a forklift model and to train a Deep Reinforcement Learning agent to control the forklift to achieve various tasks such as autonomous navigation to a palle…
PyerualJetwork is a GPU-accelerated machine learning library in Python for professionals and researchers, featuring PLAN & ENE (Eugenic NeuroEvolution) for genetic optimization, which can also be e…
A curated list of papers, code, and resources pertaining to object placement.
From the Transistor to the Web Browser, a rough outline for a 12 week course
Python implementation of Itti's saliency map
ATDN vSLAM: An All-Through Deep Learning-Based Solution for Visual Simultaneous Localization and Mapping
This is a unofficial fork of OpenVSLAM (https://github.com/xdspacelab/openvslam)
VIDO-SLAM is a Visual Inertial SLAM system for dynamic environments, and it can also estimate dynamic objects motion and track objects.
🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
12 Weeks, 24 Lessons, AI for All!
Apptainer wrappers, definitions, scripts and resources for the MRS UAV System.
🎓 Sharing machine learning course / lecture notes.
A collection of pre-trained, state-of-the-art models in the ONNX format
A collection of GICP-based fast point cloud registration algorithms
A real-time, direct and tightly-coupled LiDAR-Inertial SLAM for high velocities with spinning LiDARs
A simple python implemented frame-by-frame visual odometry with SuperPoint feature detector and SuperGlue feature matcher.
A curated list of resources for Image and Video Deblurring
Small projects to clarify big concepts
OKVIS: Open Keyframe-based Visual-Inertial SLAM.
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping