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A more-involved example ROS submission to the AIDO LF1 Challenge, using the Duckietown Lane Following stack.

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AI Driving Olympics

"ROS-based Lane Following" for challenge aido1_LF1-v3

This is a template for one of the challenges in the the AI Driving Olympics.

The online description of this challenge is here.

For submitting, please follow the instructions available in the book.

Description

This is a simple template for an ROS agent that does Lane Following with the Duckietown stack.

This code is documented here.

Running Locally

To run locally:

  1. pip2 install --user -r requirements.txt
  2. pip2 install --user -e git://github.com/duckietown/gym-duckietown.git#egg=gym-duckietown
  3. python2 local_experiment.py

If you are looking to use the old Duckietown stack (as is the case, running it out of the box), you will need to follow these steps in addition to 1 and 2 above:

2a. Clone this repository

2b. cd Software/catkin_ws && catkin_make

2c. source devel/setup.bash

And then, you can run step 3.

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A more-involved example ROS submission to the AIDO LF1 Challenge, using the Duckietown Lane Following stack.

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  • Python 93.7%
  • CMake 5.0%
  • Dockerfile 1.3%