There are 3 repositories under aerial topic.
Apple TV screen saver for Windows
Curated list of free software and hardware to build remote controlled copters and planes
Code used for training Faster R-CNN on DOTA
Orthorectify drone, aerial and satellite imagery.
[CVPR 2018] Cross-View Image Synthesis using Conditional GANs, [CVIU 2019] Cross-view image synthesis using geometry-guided conditional GANs
[ICCV 2019] Bridging the Domain Gap for Ground-to-Aerial Image Matching
Aerial For Windows is a Windows screen saver based on the new Apple TV screen saver
The P3 Dataset: Pixels, Points and Polygons for Multimodal Building Vectorization
Correct drone, aerial and satellite imagery to surface reflectance.
A Benchmark of Quadrotor Path Following Algorithms.
Repository associated with the paper "Failure Detection and Fault Tolerant Control of a Jet-Powered Flying Humanoid Robot", published in IEEE ICRA 2023.
RoCoG-v2 (Robot Control Gestures) is a dataset intended to support the study of synthetic-to-real and ground-to-air video domain adaptation.
Aerial Image segmentation using different EfficientNet based backbone encoders with UNet on Massachusetts Building and Road dataset
iOS, macOS, and visionOS app to browse the tvOS 15 screensavers
SynthFlight is a fully client-side software for planning aerial photography. Run it either on the desktop or in a browser.
ClaraVid: A Holistic Scene Reconstruction Benchmark From Aerial Perspective With Delentropy-Based Complexity Profiling [ICCV 2025]
Helper script for Aerial to kill legacyScreenSaver process that has spun out of control
Testing simple pixel-wise classification of Montreal buildings from aerial photography
A fun place for me to blog about distributed databases, aerial arts, and life in general
War Flight Reconnaissance: Aerial Wardriving Project
This is the media storage for Leo's Drones. Not all media can be found here.
Detect objects dron - Yolov8 - Object detection
AerialWare calculates and draws paths for aerial photography
The spatial distribution of a dye tracer is evaluated from UAV-based RGB imagery, processed through a robust and systematic approach developed to detect rhodamine dye presence and estimate its concentration at the water surface.
Drone Software Development
Multi-functional Missions Queue Project
Microsoft Shipped fonts Replacements for Slackware Linux
Fork for the code for paper "From Crowd to Herd Counting: How to Precisely Detect and Count African Mammals using Aerial Imagery and Deep Learning?"