Advances in SLAM since 2016

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

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  • Udacity-self-driving-car-engineer-P6-Kidnapped-Vehicle

    优达学城无人驾驶工程师纳米学位P6--被绑架的汽车--定位

  • Code for https://arxiv.org/abs/1606.05830 found: https://github.com/xiexiexiaoxiexie/Udacity-self-driving-car-engineer-P6-Kidnapped-Vehicle

  • SuperGluePretrainedNetwork

    SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

  • This basically includes a deep learning based approach to do keypoint detection, and match them across image frames. This includes papers like SuperPoint, Superglue, and more. There is also a way to do dense matching with neural networks.

  • 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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  • open_vins

    An open source platform for visual-inertial navigation research.

  • Aside from that there have been some publications of some high quality open source SLAM systems like OpenVINS and ORB-SLAM3.

  • ORB_SLAM3

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

  • Aside from that there have been some publications of some high quality open source SLAM systems like OpenVINS and ORB-SLAM3.

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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