awesome-slam

URL: https://github.com/kanster/awesome-slam
Category: Themed Directories
Tags: awesome-lists, robotics, computer-vision

Overview

awesome-slam is a curated “awesome” style directory focused on Simultaneous Localization and Mapping (SLAM). It aggregates learning resources, research materials, datasets, and code relevant to robotics and computer vision practitioners and researchers.

Features

• Focused on SLAM: Dedicated to Simultaneous Localization and Mapping for robotics and computer vision.
• Curated content: Manually collected and organized resources relevant to SLAM.
• News section: Includes notable updates for researchers, such as recent review papers (e.g., “Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age”).
• Structured table of contents:
  • Books
    • State Estimation for Robotics – A Matrix Lie Group Approach (Barfoot, 2018)
    • Simultaneous Localization and Mapping for Mobile Robots: Introduction and Methods (Fernández-Madrigal & Blanco Claraco, 2012)
    • Simultaneous Localization and Mapping: Exactly Sparse Information Filters (Wang, Huang & Dissanayake, 2011)
    • Probabilistic Robotics (Thrun, Burgard & Fox, 2005)
    • An Invitation to 3-D Vision – From Images to Geometric Models (Ma et al., 2005)
    • Multiple View Geometry in Computer Vision (Hartley & Zisserman, 2004)
    • Numerical Optimization (reference included; partial link shown in content)
  • Courses, Lectures and Workshops (section listed in TOC; details in repository README)
  • Papers (section listed in TOC; collates key SLAM research papers)
  • Researchers (section listed in TOC; highlights notable SLAM researchers)
  • Datasets (section listed in TOC; links to common SLAM datasets)
  • Code (section listed in TOC; implementations and libraries related to SLAM)
  • Miscellaneous (section listed in TOC; additional SLAM-related resources)
• Contributing guidelines: A dedicated “Contributing” section for users who want to add or update resources.
• Open-source GitHub repository: Public, with visible stars and forks, suitable for community-driven expansion.

Pricing

• Not applicable. awesome-slam is an open-source, freely accessible GitHub directory.

Brand

• Maintainer/Brand: kanster-on-github
• Platform: GitHub repository (kanster/awesome-slam)