Inferring Distributions Over Depth from a Single Image

Understand

When building a geometric scene understanding system for autonomous vehicles, it is crucial to know when the system might fail.

• Most contemporary approaches cast the problem as depth regression, whose output is a depth value for each pixel.
• Such approaches cannot diagnose when failures might occur.
• One attractive alternative is a deep Bayesian network, which captures uncertainty in both model parameters and ambiguous sensor measurements.