Visual SLAM资料整理

Published: by Creative Commons Licence

Simultaneous Localization and Mapping, also known as SLAM, is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.

Visual SLAM资料整理

Created 2018.04.25 by William Yu; Last modified: 2019.03.18-V1.0.1

Contact: windmillyucong@163.com

Copyright© 2019 William Yu. All rights reserved.


Books

Courses, Lectures and Workshops

Papers

会议

  • IEEE International Conference on Robotics and Automation(ICRA)
  • IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS)
  • International Symposium on Robotics Research
  • Robotics: Science and Systems Conference(RSS)
  • IEEE Conference on Computer Vision and Pattern Recognition(CVPR)

期刊

  • IEEE Robotics and Automation Magazine
  • IEEE Transactions on Robotics
  • International Journal of Robotics Research
  • Robotics and Autonomous Systems
  • Journal of Field Robotics
  • Robotics: Science and Systems. Cambridge, USA: MIT Press

Researchers

United States

Europe

Australia

China

研究机构

Datasets

  1. TUM: https://vision.in.tum.de/data/datasets,慕尼黑工业大学计算机视觉组提供的RGB-D dataset 室内RGBD数据集 https://vision.in.tum.de/data/datasets/rgbd-dataset
  2. Intel Research Lab (Seattle)
  3. Malaga Dataset: The Málaga Stereo and Laser Urban Data Set 城市驾驶数据集。
  4. KITTI Dataset: The KITTI Vision Benchmark Suite
  5. EuRoC MAV: https://projects.asl.ethz.ch/datasets/doku.php?id=kmavvisualinertialdatasets 微形飞行器数据集

Code

  1. ORB-SLAM
  2. LSD-SLAM
  3. ORB-SLAM2
  4. DVO: Dense Visual Odometry
  5. SVO: Semi-Direct Monocular Visual Odometry
  6. RGBD-SLAM

Miscellaneous

  • https://en.wikipedia.org/wiki/List_of_SLAM_Methods 开源列表

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Contributing / Contact

Have anything in mind that you think is awesome and would fit in this list? Feel free to send a pull request. Feel free to contact me anytime for anything.


License

CC0