Custom integration of Neural Radiance Fields (NeRF) and Visual Simultaneous Localization and Mapping (VSLAM) based in NerfStudio.
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Updated
Dec 24, 2023 - Python
Custom integration of Neural Radiance Fields (NeRF) and Visual Simultaneous Localization and Mapping (VSLAM) based in NerfStudio.
Visual SLAM using an RBG Camera equipped on a Autonomous Vehicle
Python and Gazebo-ROS implementation of Image Quality Metric to evaluate the quality of image for robust robot vision.
OAKD-series camera development demo
Wheeled mobile robot
As part of the course Vision Algorithms for Mobile Robotics at ETH Zürich, I worked in a group to implement a monocular visual odometry pipeline in Python using OpenCV's functions.
implementation of Visual SLAM using Python
This repo contains several concepts and implimentations of computer vision and visual slam algorithms for rapid prototyping for reserachers to test concepts.
Visual SLAM for use with a 360 degree camera
Dive into cutting-edge FusionSLAM, where SuperPoint, SuperGlue, Neural Depth Estimation, and Instant-NGP converge, elevating Monocular SLAM to unparalleled precision and performance. Redefining mapping, localization, and reconstruction in a single camera setup.
Orthomosaic image stitching in realtime for drone based SLAM using a single downward facing camera
Official page of Struct-MDC (RA-L'22 with IROS'22); Depth completion from Visual-SLAM using point & line features
Official repository for the AAAI 2024 paper "Deep Homography Estimation for Visual Place Recognition".
Implementation of the paper "Transformer-based model for monocular visual odometry: a video understanding approach".
(RSS 2018) LoST - Visual Place Recognition using Visual Semantics for Opposite Viewpoints across Day and Night
Education, research and development using the Simultaneous Localization and Mapping (SLAM) method.
Official repository for the CVPR 2024 paper "CricaVPR: Cross-image Correlation-aware Representation Learning for Visual Place Recognition".
Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning. http://continual-slam.cs.uni-freiburg.de
Official repository for the ICLR 2024 paper "Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition".
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