aranga81 / Extended-Kalman-Filter

Tracking target - EKF using Radar & Lidar measurments

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Target Tracking with Sensor Fusion

Extended-Kalman-Filter implementation

Overview:

This project uses sensor measurments from LIDAR and RADAR for target tracking with EKF.

Simulator Info:

This project involves the Term 2 Simulator which can be downloaded here

This repository includes two files that can be used to set up and install uWebSocketIO for either Linux or Mac systems. For windows you can use either Docker, VMware, or even Windows 10 Bash on Ubuntu to install uWebSocketIO. Please see this concept in the classroom for the required version and installation scripts.

Results:

Dataset 1 From the simulator:

Dataset1

Dataset 2 From the simulator:

Dataset2

Running the Code:

Follow the steps:

  • Clone this repository
  • change working directory to this repo: cd
  • Make new directory build or cd
  • Run cmake .. and make [Assuming you already have the correct version of Cmake and make]
  • Run the code ./ExtendedKF
  • Open the simulator from the directory you dowloaded to and run the 1/1 EKF - dataset 1 and 2

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Tracking target - EKF using Radar & Lidar measurments


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