Zebravision 4.0 is Team 900s vision system for the 2016 season; FIRST Stronghold. Our work was focused around recognizing the vision goals using shape and color based matching, recognizing the boulders using a neural network, and integrating the detection systems into a tracking system using the StereoLabs ZED stereo camera. This paper describes our tracking system, or how we get useful information that is persistent across frames from our detections.

• Paper
• Chief Delphi Post

This is a paper written in conjunction with FRC team 5190 - Green Hope Falcons.

• Paper

This is a prototype for a serve drive train, drawn in Solidworks in the Preseason of 2015-2016.

• CAD Files

All about git and its application for LabView as given at the FRC NC Workshop at JCC

• Presentation

An introduction to strategy analysis as given at the FRC NC Workshop at JCC

• Presentation

Introduction to computer vision in relation to FRC as given at the FRC NC Workshop at JCC.

• Presentation

All about the new Command and Control structure - from a Beta team as given at the FRC NC Workshop at JCC

• Presentation

An introduction to CAD in general and a tutorial of Onshape as given at the FRC NC Workshop at JCC

• Presentation

This is a port of our swerve code into the new Command and Control framework for LabVIEW.

• Source Code

Zebravision 3.5 is Team 900's work done in the postseason of 2015 and preseason of 2016. Our focus has been finding new ways to gather information about our robot's surroundings. We have been working to integrate the StereoLabs ZED, a stereoscopic camera, into the 2015 vision system with the Jetson TK1 using OpenCV. Special thanks to Stereolabs for providing support and assistance as we tested and integrated the ZED into our own work. We could not do this without their support!

• ZebraVision 3.5