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This project implements a real-time Visual SLAM system for 3D pose estimation using monocular visual odometry in the FlightMatrix simulation environment. It processes video frames to estimate camera trajectory and integrates with the KITTI dataset for real-world testing and validation.
[JFR 2024] This is the official implementation of MS-SLAM, a memory-efficient visual SLAM system removing redundant map points to save memory consumption.
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.