[ICRA 2025] MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
-
Updated
May 30, 2025 - Python
[ICRA 2025] MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
Python files for SLAM course by Claus Brenner
Pepper Programs : Object Detection Real Time without ROS
Coding dense visual odometry in a little more than a night (yikes)!
3D pose estimation of an RGB-D camera using the least squares technique
IEPF (Iterative End Point Fit) Line Extraction Algorithm for SLAM (Simultaneous Localization and Mapping)
Get the papers you want from ArXiv every weekday.
Autonomous navigation using SLAM on turtlebot-2 for EECE-5698 Mobile robotics class.
A library of ROS2 algorithm wrappers.
This repository consists the entire solution code for the course SLAM - by Claus Brenner. All solutions have been written in Python 3. You can find the video tutorials on YouTube.
This repository contains ROS2 package for 2d-Lidar scanner based Kidnapped Robot Re-localization solution (without using AMCL). The idea is to take the original map image, and create a scan-image from local lidar scan, then 'simulate' scans on random positions in the map image (using ray-casting), and find the best-matching scan with orig scan.
Mobile robots playground
Autonomous vacuum cleaner robot
Autonomous mobile robotics algorithms.
This repo contains several concepts and implimentations of computer vision and visual slam algorithms for rapid prototyping for reserachers to test concepts.
Feature based SLAM on monocular RGB images.
Online Simultaneous Localization and Mapping in ROS
Implementation of Least Squares Graph Optimization algorithm for graph-based SLAM.
Developed and implemented 2D and 3D Pose Graph SLAM using the GTSAM library and Gauss Newton Solver on the Intel and Parking Garage g2o datasets respectively
🚘📡🕹 A modification of ORB_SLAM2 with map reloading and grid-map generating.
Add a description, image, and links to the slam-algorithms topic page so that developers can more easily learn about it.
To associate your repository with the slam-algorithms topic, visit your repo's landing page and select "manage topics."