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Re: Vision: what's state of the art in FRC?
Quote:
Originally Posted by Tom Bottiglieri
We used vision in 2012 to align with the basket from the key. You really had to be tight on the target that year and our long 8wd was not super easy to align by hand. We were able to pull out the angle of the robot relative to a line between the center of the robot and the center of the backboard, as well as the angle of said line relative to the field. This allowed us to aim a bit left or right of the center of the backboard based on whether we were on the right/left/center side of the key.
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Yes, I remember seeing it in action at CVR that year.
We used a similar process, but only aligning our turret, not the entire robot. We had fairly decent success that season using the cRio to do the processing. Fortunately we were able to relegate the cRio to only trying to process the image and determining alignment and distance, while not having to do anything else during the process.
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CalGames 2009 Autonomous Champion Award winner
Sacramento 2010 Creativity in Design winner, Sacramento 2010 Quarter finalist
2011 Sacramento Finalist, 2011 Madtown Engineering Inspiration Award.
2012 Sacramento Semi-Finals, 2012 Sacramento Innovation in Control Award, 2012 SVR Judges Award.
2012 CalGames Autonomous Challenge Award winner ($$$).
2014 2X Rockwell Automation: Innovation in Control Award (CVR and SAC). Curie Division Gracious Professionalism Award.
2014 Capital City Classic Winner AND Runner Up. Madtown Throwdown: Runner up.
2015 Innovation in Control Award, Sacramento.
2016 Chezy Champs Finalist, 2016 MTTD Finalist
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