Stars
ORB_SLAM2 with GPU Enhancement running on NVIDIA Jetson TX1. Focus on ROS part.
A full and whole framework for using Drones in general, and the DJI Tello specifically.
Create agents that monitor and act on your behalf. Your agents are standing by!
A beautiful, simple, clean, and responsive Jekyll theme for academics
UnrealCV: Connecting Computer Vision to Unreal Engine
Underwater SLAM for robots with multibeam sonar
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
Python binding of SLAM graph optimization framework g2o
pySLAM contains a Visual Odometry (VO) pipeline in Python for monocular, stereo and RGBD cameras. It supports many modern local features based on Deep Learning.
Informative path planning repository
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
A flexible, high-performance 3D simulator for Embodied AI research.
2nd place solution in Scene Understanding for Autonomous Drone Delivery
ML and DL related contests, competitions and conference challenges.
An interface that lets users build, test, and deploy custom adaptive machine learning models in freqtrade. Mirrored development on github.com/freqtrade/freqtrade
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…
Maximizing algebraic connectivity for graph sparsification
Mobile Sensing and Robotics Course - 2020/21 By Prof. C. Stachniss
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
Dense matching library based on PyTorch
Final project for EECS432 Advanced Computer Vision
A curated list of Object SLAM papers and resources
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
solution of exercises of the book "probabilistic robotics"
Visually Realistic Underwater Robotics Simulator UNav-Sim
COntrastive Multimodal Pretraining for AutonomouS Systems