Hello,
i want to avoid obstacles in front of my minirobot and plan the path accordingly and i would like some suggestions on how to proceed. I have the OAK D lite and a raspberry pi and some ultrasonic sensors to avoid obstacles for now ( i can get rid of them if not needed ).
In the "code samples tab" i've found the "collision avoidance" project and some other drones examples but i don't know if this is the best approach for my needs.
Also , is it possible to use deep learning model to enhance depth map in the oak d Lite ? like MIdas or similars.