Showing 1-20 of 20 projects
Apple TV Aerial Screensaver for Mac
A collection of techniques for deep learning with satellite and aerial imagery, including object detection and classification.
A command-line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images.
A robust and versatile monocular visual-inertial state estimator for robotics and computer vision applications.
A modern, powerful, and robust URL shortener with analytics, API, and JSON support.
VINS-Fusion is an optimization-based multi-sensor state estimator for aerial robotics.
An open-source, user-friendly software for processing aerial imagery and creating 3D maps and point clouds.
A robust and efficient trajectory planner for quadrotors, focused on aerial robotics and autonomous navigation.
Advanced implementation of the LOAM (Lidar Odometry and Mapping) algorithm for lidar-based SLAM.
An open-source library for deep learning on satellite and aerial imagery using Python and PyTorch.
This is an open-source Apple TV screen saver for Windows, allowing users to enjoy the Aerial screensaver experience.
A Python library for oriented object detection using the YOLOv5 model, with support for rotated bounding boxes.
A comprehensive guide to the powerful photogrammetry technique used for 3D reconstruction, surveying, and more.
Visual-inertial state estimation library for mobile phones, enabling accurate pose tracking.
An efficient framework for fast UAV exploration and autonomous navigation using C++.
Teach-Repeat-Replan is a complete and robust system for aggressive flight in complex environments using autonomous drones.
A tightly coupled GNSS-Visual-Inertial system for smooth and consistent state estimation in complex environments.
A collection of datasets for deep learning with satellite and aerial imagery.
A MATLAB library for quadrotor control, path planning, and trajectory optimization for unmanned aerial vehicles.
A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery.
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