Here the actual dev on ardumower vision and obstacle avoidance EVERYTHING IS IN DEV and need many ressource on Raspberry PI4 (but certainly possible to do better)
Process use actually AZURITBER and PIARDU to detect with artificial intelligence (Tensorflow) some obstacle present in the mowing area.
I stop to work with avoidance because in Bylane mowing,sometimes mowing finish to mow 1 hour on the 3 or 4 same lane.
I prefer to simply stop and reverse to be sure mower is never stuck.
Pi Camera is not able to detect distance or size of object, Instead it use score and size (in % of the full screen) to know if the mower need to stop or if Obstacle is too far and mower can continue.
Here the WIKI link:
AzuritBer Pi Firmware (English) - www.wiki.ardumower.de
and the video link:
Process use actually AZURITBER and PIARDU to detect with artificial intelligence (Tensorflow) some obstacle present in the mowing area.
I stop to work with avoidance because in Bylane mowing,sometimes mowing finish to mow 1 hour on the 3 or 4 same lane.
I prefer to simply stop and reverse to be sure mower is never stuck.
Pi Camera is not able to detect distance or size of object, Instead it use score and size (in % of the full screen) to know if the mower need to stop or if Obstacle is too far and mower can continue.
Here the WIKI link:
AzuritBer Pi Firmware (English) - www.wiki.ardumower.de
and the video link:
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