Michele Mancini
Michele Mancini
Research fellow, Department of Engineering, University of Perugia, Italy.
Email verificata su unipg.it
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Citata da
Citata da
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Exploring representation learning with cnns for frame-to-frame ego-motion estimation
G Costante, M Mancini, P Valigi, TA Ciarfuglia
IEEE robotics and automation letters 1 (1), 18-25, 2015
1492015
Fast robust monocular depth estimation for obstacle detection with fully convolutional networks
M Mancini, G Costante, P Valigi, TA Ciarfuglia
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
572016
Toward domain independence for learning-based monocular depth estimation
M Mancini, G Costante, P Valigi, TA Ciarfuglia, J Delmerico, ...
IEEE Robotics and Automation Letters 2 (3), 1778-1785, 2017
442017
J-MOD2: Joint Monocular Obstacle Detection and Depth Estimation
M Mancini, G Costante, P Valigi, TA Ciarfuglia
IEEE Robotics and Automation Letters 3 (3), 1490-1497, 2018
162018
Uncertainty estimation for data-driven visual odometry
G Costante, M Mancini
IEEE Transactions on Robotics, 2020
32020
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Articoli 1–5