Fast robust monocular depth estimation for Obstacle Detection with fully convolutional networks

• Published in: Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems pp. 4296 - 4303
• Main Authors: Mancini, Michele, Costante, Gabriele, Valigi, Paolo, Ciarfuglia, Thomas A.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2016
• Subjects: Convolution; Estimation; Feature extraction; Optical imaging; Robots; Robustness; Three-dimensional displays

Obstacle Detection is a central problem for any robotic system, and critical for autonomous systems that travel at high speeds in unpredictable environment. This is often achieved through scene depth estimation, by various means. When fast motion is considered, the detection range must be longer eno...