🌤️ Discover real-time weather for 50 San Francisco neighborhoods with a free, keyless API that shows accurate microclimate data.

🚀 Achieve real-time LiDAR odometry with robust state estimation using Probabilistic Kernel Optimization for SLAM applications.

🖼️ Enhance 3D computer vision with this modular toolkit for depth reconstruction, visual odometry, and real-time stereo vision solutions.

🌆 Enhance drone navigation with robust Visual Odometry and SLAM for urban canyons, focusing on realistic İstanbul environments and machine learning solutions.

6-DoF ego-motion estimation in CARLA using RGB-D visual odometry — ORB features, PnP-RANSAC, and ATE evaluation

Robotics with GPU computing

An Invitation to 3D Vision: A Tutorial for Everyone

Visual Odometry Pipeline in C++ using Eigen and OpenCV for RGB-D data

ROS 2 wrapper for the ZED SDK

pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.

PoseDec: Analytic Pose Decoupling in SLAM

Visual-Odometry based on pycolmap

A C++ implementation of Monocular Visual Odometry using ROS2 and OpenCV.

A Python implementation of Monocular Visual Odometry using OpenCV.

Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM

Pure Python Visual SLAM implementation: ORB feature extraction, pose estimation, 3D map reconstruction

包含三类计算机视觉课程实验，涵盖单目相机标定、双目相机标定与三维重建、以及视觉里程计

Sparsify and Densify Visual Inertial Odometry

Implementation of Open-World Visual Odometry with Temporal Dynamics Awareness (CVPR'26)

Paper Survey for Learning-based Odometry