laser_odometry | A pluginlib-based package for laser-odometry | Robotics library

by artivis C++ Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | laser_odometry Summary

laser_odometry is a C++ library typically used in Automation, Robotics applications. laser_odometry has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A unified Laser Odometry scheme which aims at providing a single, simple interface for different scan matcher algorithms. With a single node to start, selecting an scan-matching algorithm is as simple as setting a parameter in a launch file !.

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Quality

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License

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Support

laser_odometry has a low active ecosystem.

It has 37 star(s) with 22 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 10 have been closed. On average issues are closed in 65 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of laser_odometry is current.

Quality

laser_odometry has no bugs reported.

Security

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

License

laser_odometry is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

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laser_odometry Key Features

No Key Features are available at this moment for laser_odometry.

laser_odometry Examples and Code Snippets

No Code Snippets are available at this moment for laser_odometry.

Community Discussions

Trending Discussions on laser_odometry

MRPT Graph Slam Minimal Example

QUESTION

MRPT Graph Slam Minimal Example

Asked 2018-Jul-19 at 15:56

I am trying to come up with a "minimal" way of running a graph slam application using MRPT. The sensor data (LaserScan / Odometry) will be provided by a custom middleware similiar to ROS. After reading docs and source codes (both for the MRPT and the ROS bridge) extensively, I came up with the following snippet:

...

ANSWER

Answered 2018-Jul-19 at 15:56

Hmm, at a first look the script seems fine, you are providing odometry and the laser scan in two different steps and in Observation form.

Minor note

auto node_reg = mrpt::graphslam::deciders::CICPCriteriaNRD{};

If you want to run with Odometry + laser scans use CFixedIntervalsNRD instead. It's much better tested and actually makes use of those measurements.

There is no minimal graphslam-engine example at present in MRPT but here's here's the main method for running graph-slam with datasets:

https://github.com/MRPT/mrpt/blob/26ee0f2d3a9366c50faa5f78d0388476ae886808/libs/graphslam/include/mrpt/graphslam/apps_related/CGraphSlamHandler_impl.h#L395

Source https://stackoverflow.com/questions/51421935

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install laser_odometry

You can download it from GitHub.

Support

The Doxygen documention is available online at codedocs.xyz/artivis/laser_odometry.Some notes about the node topics and parameters can be found in the Parameters & Topics wiki page.The overall execution scheme is summarized in the pseudo-code wiki page.To develop your own plugin, please refer to the plugin instructions wiki page.

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