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Statistical Uncertainty Learning for Robust Visual-Inertial State Estimation
Isaac Drone Racer is a reinforcement learning framework for high speed autonomous drone racing, built on top of IsaacLab
Long-term localization by learning visual feature maps combined with ORB-SLAM3.
This is part of the code for visual navigation algorithms, which fuses VO with localization method based on heterogeneous image matching.
[IGARSS'24] Leveraging neural networks and edge detection for better UAV localization
[RA-L 2024] Official repository for "STHN: Deep Homography Estimation for UAV Thermal Geo-localization with Satellite Imagery"
Implementation of visual based UAV geo-localization using satellite imagery
Vision-based GNSS-Free Localization for UAVs in the Wild
UAV-VisLoc: A Large-scale Dataset for UAV Visual Localization
A Best-of-list of Robot Simulators, re-generated weekly on Wednesdays
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
Kalman Filter, Smoother, and EM Algorithm for Python
[CVPR 2024] RoMa: Robust Dense Feature Matching; RoMa is the robust dense feature matcher capable of estimating pixel-dense warps and reliable certainties for almost any image pair.
[CVPR 2025] MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors
Season-invariant GNSS-denied visual localization for UAVs
Release repo for our SLAM Handbook
AnyLoc: Universal Visual Place Recognition (RA-L 2023)
Framework for aerial imagery localization using different VPR systems
Powerful ROS 2 Package Generator
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities