Doing SLAM with laptop sensors

This page summarizes the projects mentioned and recommended in the original post on /r/robotics

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  • dv

  • Don’t waste your time with the old stuff. Go right here. https://gitlab.com/inivation/dv/dv-stereo-slam

  • ORB_SLAM3

    ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

  • You could try your luck with OrbSLAM3 or Kimera, they're pretty close to state of the art and open source. Might have a bit of a learning curve though.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • Kimera

    Index repo for Kimera code

  • You could try your luck with OrbSLAM3 or Kimera, they're pretty close to state of the art and open source. Might have a bit of a learning curve though.

  • Kalman-and-Bayesian-Filters-in-Python

    Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  • Seems like visual inertial SLAM is what you're after, anyway. There will be a bunch of results if you put that into google scholar, but you will likely have to fuse in the encoder data yourself as that's not as common a use case. For that you're likely looking at some form of Kalman filter.

  • VINS-Mono

    A Robust and Versatile Monocular Visual-Inertial State Estimator

  • Try this https://github.com/HKUST-Aerial-Robotics/VINS-Mono

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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