CarND-P5-Extended_Kalman_Filters | extended Kalman filter

by JohnBetaCode C++ Version: Current License: MIT

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kandi X-RAY | CarND-P5-Extended_Kalman_Filters Summary

CarND-P5-Extended_Kalman_Filters is a C++ library. CarND-P5-Extended_Kalman_Filters has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

In this project I utilized a kalman filter codec in C++ to estimate the state of a moving object of interest with noisy lidar and radar measurements. The project required obtaining RMSE values that are lower than the tolerance outlined in the project rubric.

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Support

CarND-P5-Extended_Kalman_Filters has a low active ecosystem.

It has 3 star(s) with 1 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

CarND-P5-Extended_Kalman_Filters has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CarND-P5-Extended_Kalman_Filters is current.

Quality

CarND-P5-Extended_Kalman_Filters has no bugs reported.

Security

CarND-P5-Extended_Kalman_Filters has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

CarND-P5-Extended_Kalman_Filters 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

CarND-P5-Extended_Kalman_Filters releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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CarND-P5-Extended_Kalman_Filters Key Features

No Key Features are available at this moment for CarND-P5-Extended_Kalman_Filters.

CarND-P5-Extended_Kalman_Filters Examples and Code Snippets

No Code Snippets are available at this moment for CarND-P5-Extended_Kalman_Filters.

Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install CarND-P5-Extended_Kalman_Filters

Yes, I know, making a build with a python script is horrible, I'm a bad person but too lazy as well to write the make line every time that I changed something in my code, dont judge me. This script also run everything for you. If you want to plot the Kalman Filter's response just wait until the car finish its path, in this way the c++ code close the csv file to plot the results later with matplotlib in the python code.
Clone the CarND-P5-Extended_Kalman_Filters repo.
Make a build directory: mkdir build && cd build
Compile: cmake .. && make On windows, you may need to run: cmake .. -G "Unix Makefiles" && make
Run it: ./ExtendedKF
After this you just can run the script to build and run all: clear && python3 CarND-P5-Extended_Kalman_Filters.py

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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