KalmanJS | JavaScript implementation and interactive playground

by kallaspriit JavaScript Version: Current License: No License

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

kandi X-RAY | KalmanJS Summary

KalmanJS is a JavaScript library. KalmanJS has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

JavaScript implementation and interactive playground for Kalman filters.

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Quality

Security

License

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Support

KalmanJS has a low active ecosystem.

It has 15 star(s) with 8 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

KalmanJS has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of KalmanJS is current.

Quality

KalmanJS has 0 bugs and 0 code smells.

Security

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

KalmanJS code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

KalmanJS does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

It has 683 lines of code, 0 functions and 9 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed KalmanJS and discovered the below as its top functions. This is intended to give you an instant insight into KalmanJS implemented functionality, and help decide if they suit your requirements.

Creates a new slider .
Creates a new LinearKalm .
Returns the max values in array
Returns the minimum value in array
Returns the maximum value of the given array
Creates a new control .
Returns the minimum value in array
Get the min value from a source string
Returns the maximum number of items
Get range of range

Get all kandi verified functions for this library.

KalmanJS Key Features

No Key Features are available at this moment for KalmanJS.

KalmanJS Examples and Code Snippets

No Code Snippets are available at this moment for KalmanJS.

Community Discussions

Trending Discussions on KalmanJS

Node.js kalman filter 1D

QUESTION

Node.js kalman filter 1D

Asked 2019-Feb-22 at 00:50

First of all, Hello I am working on node.js javascript on interior positioning with Ibeacon. As a helper in my work: I use Evothings Studio. I'm transferring my codes to Evothings studio and viewing my work from my android and ios mobile phone. Now I want to tell you the problem I've had. According to RSSI Signal level, I find the distance is not very accurate in the calculations. I want to use Kalman Filter to clear the noises of this signal level (RSSI). This article describes the use of the kalman filter in Javascript. It is said to be easy to implement but I could not start practicing. "" Kalman Filter library: "https://github.com/wouterbulten/kalmanjs". How do I clear the noise from RSSI signals with this kalman filter? How do I apply the Kalman filter to these codes?

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ANSWER

Answered 2019-Feb-22 at 00:50

After you complete experimenting with a Kalman Filter, you will likely find that the error in your distance estimates is still too high. This is because of the other sources of error besides random noise in your RSSI measurement, many of which can be a function of other variables (e.g. reflection, obstruction, antenna pattern variations) that affect the radio signal level as measured by the receiver.

In general, using direct distance calculations based on RSSI is at best accurate enough to estimate 0.5-2 meters at a true distance of 1 meter, and much lower accuracy at greater distances. This is true even after filtering out noise with a Kalman filter or running average. (Note iOS distance estimates use a 20 second running average on RSSI and RSSI field values on CLBeacon are averaged over one second.)

If using trilateration or similar approaches to calculate position, you will find that you can only get workable results at very short distances of no more than 1-2 meters.

Source https://stackoverflow.com/questions/54817228

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

Vulnerabilities

No vulnerabilities reported

Install KalmanJS

You can download it from GitHub.

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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