[ICRA 2025 Best Paper] MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
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Updated
Nov 24, 2025 - Python
[ICRA 2025 Best Paper] 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
IEPF (Iterative End Point Fit) Line Extraction Algorithm for SLAM (Simultaneous Localization and Mapping)
3D pose estimation of an RGB-D camera using the least squares technique
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.
Get the papers you want from ArXiv every weekday.
Coding dense visual odometry in a little more than a night (yikes)!
Autonomous navigation using SLAM on turtlebot-2 for EECE-5698 Mobile robotics class.
Autonomous mobile robotics algorithms.
Mobile robots playground
Feature based SLAM on monocular RGB images.
Navigation Stacks Team Repository for the Affordable Smart WheelChair Research at UCSD
Solutions for the problems in the book Probabilistic Robotics (S. Thrun, W. Burgard, D. Fox)
Access NavAbility(TM) Accelerator features from Python.
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.
Autonomous vacuum cleaner robot
Online Simultaneous Localization and Mapping in ROS
A modular SLAM system combining Particle Filter-based localization, Occupancy Grid Mapping (OGM), Dynamic Window Approach (DWA) for real-time obstacle avoidance, and D* Lite for global path replanning. This project integrates both probabilistic mapping and real-time motion planning, suitable for research and educational use in robotics.
This repo contains several concepts and implimentations of computer vision and visual slam algorithms for rapid prototyping for reserachers to test concepts.
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