This algorithm needs badly temporal dimension, some kind of short term memory that lets it interpret using context. At the very least to filter out freaky readings of a train station when looking at the ground, best case scenario it would enable building deeper understating of its surroundings. Maybe not even memory, but Bayes filter to prime next estimation. Then throw movies at it.

Even as it is this could be adapted for the blind. I can imagine app that will simply build a model of what it sees and answer questions or warn about stairs/walls/roads/other dangers. There isnt all that much to make it as clever as a guide dog.