78 citations · 279 across the 20 of their papers we have counts for
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cs.LG2017★ 59 cited
J-MOD: Joint Monocular Obstacle Detection and Depth Estimation
Michele Mancini, Gabriele Costante, Paolo Valigi +1
In this work, we propose an end-to-end deep architecture that jointly learns to detect obstacles and estimate their depth for MAV flight applications. Most of the existing approach…
cs.CV2017★ 78 cited
LS-VO: Learning Dense Optical Subspace for Robust Visual Odometry Estimation
Gabriele Costante, Thomas A. Ciarfuglia
This work proposes a novel deep network architecture to solve the camera Ego-Motion estimation problem. A motion estimation network generally learns features similar to Optical Flo…