OpenSeqSLAM | Port of Niko Sünderhauf 's OpenSeqSLAM

by subokita C++ Version: Current License: Non-SPDX

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kandi X-RAY | OpenSeqSLAM Summary

OpenSeqSLAM is a C++ library. OpenSeqSLAM has no bugs, it has no vulnerabilities and it has low support. However OpenSeqSLAM has a Non-SPDX License. You can download it from GitHub.

Copyright 2013, Niko Sünderhauf Chemnitz University of Technology niko@etit.tu-chemnitz.de. OpenSeqSLAM is an open source Matlab implementation of the original SeqSLAM algorithm published by Milford and Wyeth at ICRA12 [1]. SeqSLAM performs place recognition by matching sequences of images. Quick start guide: - Download the Nordland dataset: cd datasets/norland; ./getDataset.bash; - start Matlab and run demo.m from within the matlab directory. [1] Michael Milford and Gordon F. Wyeth (2012). SeqSLAM: Visual Route-Based Navigation for Sunny Summer Days and Stormy Winter Nights. In Proc. of IEEE Intl. Conf. on Robotics and Automation (ICRA).

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Support

OpenSeqSLAM has a low active ecosystem.

It has 41 star(s) with 21 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

OpenSeqSLAM has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of OpenSeqSLAM is current.

Quality

OpenSeqSLAM has 0 bugs and 0 code smells.

Security

OpenSeqSLAM has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

OpenSeqSLAM code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

OpenSeqSLAM has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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OpenSeqSLAM releases are not available. You will need to build from source code and install.

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OpenSeqSLAM Key Features

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OpenSeqSLAM Examples and Code Snippets

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Vulnerabilities

No vulnerabilities reported

Install OpenSeqSLAM

You can download it from GitHub.

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