Autonomous driving for Final Degree Project in Robotics.
The employed architecture of convolutional neural network (CNN) is YOLOv8n-seg. This model has been trained with a dataset of 500 images of the following circuit (Figure 1). The achieved metrics of this model are:
List TODO:
[x] [Test JetRacer motors]()
[x] [Keyboard Control JetRacer]()
[x] [Gamepad Control JetRacer]()
[x] [Create own dataset]().
[x] [Train YOLO]().
[x] [Lane segmentation]().
[x] [Object segmentation]().
[x] [Car follower]().
[x] [Security stop]().
[ ] [Implement EKF]().
JetRacer Autonomous Driving is available under next license:
(c) 2023 (Marcos Fernández)