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Open_vins Alternatives
Similar projects and alternatives to open_vins
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ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
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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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SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
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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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pyslam
pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.
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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 better open_vins alternative or higher similarity.
open_vins reviews and mentions
Posts with mentions or reviews of open_vins.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-27.
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Modular Open Source Visual SLAM
From what I have understood after reading research papers related to the VSLAM, the modularity aspect is not easy to achieve given the extracted features and descriptors are intrinsically linked with feature matching and handling of map points. I would like to know if there are some good Open Source VSLAM projects available which can be used with different feature extractors so I can get a comparative results with respect to just changing the feature extractors . I have tried pyslam project which is actually quite good considering the modularity but as the author himself points out this is only for academic purposes and when I compared the results of ORB_SLAM2 feature extractor using this module vs the original ORB_SLAM2 for KITTI data set , the results are not comparable. I am also looking into OpenVINS ( and from initial reading it is also using ORB Features, although it does have a base Tracker class which can be modified to create a new Tracker with different descriptor) If anyone has worked with custom feature extractor incorporated into prebuilt SLAM pipeline and can guide me as to how to proceed with the implementation of custom Feature extractor into a SLAM Front end using a Open Source VSLAM framework, it will be really helpful.
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SLAM vs. Visual Odometry Approaches
Because the standard MSCKF is the only one that doesn't contain the map points in the state. Note that this is only for the standard MSCKF. More modern MSCKFS variations like OpenVINS will actually add some SLAM features because it improves the accuracy.
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Advances in SLAM since 2016
Aside from that there have been some publications of some high quality open source SLAM systems like OpenVINS and ORB-SLAM3.
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Sfm or slam pseudo code
Check out open vins. Its an implementation of the vins slam project. https://github.com/rpng/open_vins
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Visual Odometry or SLAM with pose uncertainty output
Generally you want to use a Kalman Filter based method if you want access to the uncertainties. This is because it is much easier to extract a subset of the covariance in the kalman filter form. I would recommend OpenVins. One of the best open source visual odometry projects, and it is pretty well documented.
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A note from our sponsor - WorkOS
workos.com | 23 Apr 2024
Stats
Basic open_vins repo stats
5
1,973
6.9
3 months ago
rpng/open_vins is an open source project licensed under GNU General Public License v3.0 only which is an OSI approved license.
The primary programming language of open_vins is C++.
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