A deep learning approach that can calculate distance to obstacles After reading about the most famous object detection CNN based methods: YOLO, YOLO 9000, r-cnn, faster r-cnn, etc., I was wondering if there is an architecture that can calculate the distance to the obstacle after detection?
Thank you.
Actually, I don't think this is a problem that could be solved just from the image because it could be a small object that is really close or and big object really far. As far as I know, self driving cars use sensors for this. From what I found here, you would need the actual height of the object to calculate it from one image.

I strongly suspect you could also calculate the distance by having two images and then using the distance between the two cameras, and the Pythagorean theorem to calculate it. But that's just conjecture.