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    Toolkit for locating a vehicle on the race track

    This project deals with the localization of a vehicle on a race track. This is a student project from Bochum University of Applied Sciences.

    The main approach of localization is based on locating the vehicle based on the current and already travelled section types. A section type can be a right turn, a left turn and straight.

    Robot

    The used Robot is the LEGO EV3 Brick as a line follower to test the algorithm.

    The robot use MicroPython. How to install MicroPython and set up your Visual Studio Code to connect your pc to the robot is documented in this file: https://assets.education.lego.com/v3/assets/blt293eea581807678a/bltb470b9ea6e38f8d4/5f8802fc4376310c19e33714/getting-started-with-micropython-v2_enus.pdf?locale=de-de

    Important notes regarding the robot:

    • The robot has differential drive.
    • The motors / sensors are connected to the following ports of the robot:
      • Motor: OUTPUT A & OUTPUT B
      • ColorSensor: INPUT 4
      • GyroSensor: INPUT 1

    Getting started

    How to run MicroPython programs on LEGO EV3: