Udai Kandah [MAE]
Cris Madla [MAE]
Ethen Lerner [ECE]
In this project we worked on getting 5 autonomous loops using Deep Learning and another 5 autonomous loops using OpenCV on an outside closed track. For the Deep Learning we drove our model for 30+ laps around the track with 20Hz that is 20 pictures per seconds then trained it to drive autonomously. Although for the OpenCV we used ROS packages ...
Design and Parts
Camera Mount that hold the camera at different angles. This helps in getting different frames to track the lines on the Track. The only problem with this design is that it just fits a specific size of camera.