Quote:
Originally Posted by apalrd
The cRio can handle processing the target this year fast enough. The only time it needs to be faster is when the robot is moving, which unfortunately leads to camera image blur. Even a faster co-processor won't fix that.
As for advanced image processing in competition, the code given to us adequately handles detection of the goal. Nothing else is designed to be tracked by the camera, making tracking difficult. You could want to track the white line to go through the tunnel, but simply seeing the camera image would help alot there.
I would agree that the cRio is not the best processor for image handling, as it is already busy controlling the rest of the robot. However, FIRST gave it to us with the intent that we would use it for image processing, and many teams have proven it is up to the task.
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Actually, using Weiner Deconvolution combined with the PSF generated from a gyro and accelerometer, it's not that hard to remove the motion blur. Although it's much easier to simply lower the exposure time (which is not possible to reliably do with the 206).
While yes, tracking the VISION TARGET this year is rather easy, there are more advanced algorithms that would allow more reliable and distant detection. There is also the possibility of tracking other things such as the balls (which is surprisingly easy to do on the cRIO) and other robots.