In this year's workshop you will deploy a deep neural network on a mobile robot. You will go through all the stages of this process: data collection and labelling, network architecture design and implementation, training and testing, deployment on the robot and task execution.
Given an RGB image from the robot's camera, you will train a deep neural network to produce a steering command that safely drives the robot along the road. Performance will be measured by how quickly and accurately (not crossing off the road) your robot completes the test track.
The following links will guide you through this challenge: