https://github.com/kkweon/extended-kalman-filter

Extended Kalman Filter Project with Sensor Fusion (LIDAR & RADAR)
https://github.com/kkweon/extended-kalman-filter

Last synced: 24 days ago
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Extended Kalman Filter Project with Sensor Fusion (LIDAR & RADAR)

• Host: GitHub
• URL: https://github.com/kkweon/extended-kalman-filter
• Owner: kkweon
• Created: 2017-07-03T12:46:33.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-07-03T12:48:20.000Z (over 7 years ago)
• Last Synced: 2024-10-29T08:05:10.657Z (2 months ago)
• Language: C++
• Size: 2.48 MB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Extended Kalman Filter

Kalman Filter to estimate the state of a moving object with LIDAR & RADAR measurements (from simulator)







## Dependencies

* [Self Driving Car Simulator](https://github.com/udacity/self-driving-car-sim/release)

* [uWebSocketIO](https://github.com/uWebSockets/uWebSockets)

## Build

1. mkdir build

2. cd build

3. cmake ..

4. make

5. ./ExtendedKF

## Other Important Dependencies

* cmake >= 3.5

 * All OSes: [click here for installation instructions](https://cmake.org/install/)

* make >= 4.1

  * Linux: make is installed by default on most Linux distros

  * Mac: [install Xcode command line tools to get make](https://developer.apple.com/xcode/features/)

  * Windows: [Click here for installation instructions](http://gnuwin32.sourceforge.net/packages/make.htm)

* gcc/g++ >= 5.4

  * Linux: gcc / g++ is installed by default on most Linux distros

  * Mac: same deal as make - [install Xcode command line tools]((https://developer.apple.com/xcode/features/)

  * Windows: recommend using [MinGW](http://www.mingw.org/)