ARLCL-Optimizer | Dimitris Xenakis , Antonio Di Maio , Torsten Braun

by Geogouz Java Version: Current License: MIT

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kandi X-RAY | ARLCL-Optimizer Summary

ARLCL-Optimizer is a Java library. ARLCL-Optimizer has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Dimitris Xenakis, Antonio Di Maio, Torsten Braun. ARLCL-Optimizer is an application implementing the cooperative localization method ARLCL: Anchor-free Ranging-Likelihood-based Cooperative Localization. This method has been developed by the Communication and Distributed Systems research group at the University of Bern. The application supports both Graphical (for single scenario executions) and Headless (useful for batch executions) modes. We provide also two localization implementations based on Mass Springs (MS_Localization.py) and Maximum Likelihood - Particle Swarm Optimization (ML-PSO_Localization.py) that were used as baselines with ARLCL. Their dependencies are mentioned in requirements.txt.

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Support

ARLCL-Optimizer has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

ARLCL-Optimizer has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ARLCL-Optimizer is current.

Quality

ARLCL-Optimizer has no bugs reported.

Security

ARLCL-Optimizer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ARLCL-Optimizer is licensed under the MIT License. This license is Permissive.

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

Reuse

ARLCL-Optimizer releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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ARLCL-Optimizer Key Features

No Key Features are available at this moment for ARLCL-Optimizer.

ARLCL-Optimizer Examples and Code Snippets

No Code Snippets are available at this moment for ARLCL-Optimizer.

Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install ARLCL-Optimizer

You can download it from GitHub.
You can use ARLCL-Optimizer like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the ARLCL-Optimizer component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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