SLAM backend correction with G2O

• graph_slam

  1 7 0.0 Python

  An educational implementation of GraphSLAM - http://robots.stanford.edu/papers/thrun.graphslam.pdf

4) https://github.com/Bazs/graph_slam (Not yet explored; Somebody tried their hand on graph slam)

• python-graphslam

  1 182 8.2 Python

  Graph SLAM solver in Python

3) https://github.com/JeffLIrion/python-graphslam (A pose-graph optimization library built from ground-up in Pythion without using G2O)

• InfluxDB

  www.influxdata.com sponsored

  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.

  

• simple-slam

  1 5 0.0 Python

5) https://github.com/akashsharma02/simple-slam (A better code implementation build on twitchslam)

• VOpy

  1 6 0.0 Python

  simple visual odometry in python

1) https://github.com/tmadl/python-LS-SLAM (An offline loop closure technique is employed here; still looking for implementations in real-time. Many resources suggest DBoW but not sure of it's implementation) 2) https://github.com/kemfic/VOpy (Currently trying to extend capabilities of a mono-VO system that I had built few days back using this codebase)

• Monocular-MiniSLAM

  1 25 4.3 Python

  Real-Time Monocular Visual SLAM with Pose-graph optimization

Also, I am trying to build a mini SLAM code base here : https://github.com/sakshamjindal/Monocular-MiniSLAM

• WorkOS

  workos.com sponsored

  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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