To improve self-driving algorithms, add the concept of empty space

Teaching self-driving artificial intelligence about the empty space around it could improve the recognition of surrounding objects, according to researchers at Carnegie Mellon University – combining the merit of classic mapping and deep learning for 3D object detection. According to the university, when tested against a standard benchmark, the new method outperformed the previous top-performing ...

This story continues at To improve self-driving algorithms, add the concept of empty space

Or just read more coverage at Electronics Weekly

from News – Electronics Weekly https://ift.tt/2N4RA9q
via Yuichun