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J-MOD2: Joint Monocular Obstacle Detection and Depth Estimation, Mancini, Michele, Costante Gabriele, Valigi Paolo, and Ciarfuglia Thomas Alessandro , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {3}, Number {3}, p.1490-1497, (2018)
Fast robust monocular depth estimation for Obstacle Detection with fully convolutional networks, Mancini, Michele, Costante Gabriele, Valigi Paolo, and A. Thomas Ciarfuglia , Volume {2016-}, Number {False}, p.4296-4303, (2016)
J-MOD2: Joint Monocular Obstacle Detection and Depth Estimation, Mancini, Michele, Costante Gabriele, Valigi Paolo, and Ciarfuglia Thomas Alessandro , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {3}, Number {3}, p.1490-1497, (2018)
J-MOD2: Joint Monocular Obstacle Detection and Depth Estimation, Mancini, Michele, Costante Gabriele, Valigi Paolo, and Ciarfuglia Thomas Alessandro , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {3}, Number {3}, p.1490-1497, (2018)
Toward Domain Independence for Learning-Based Monocular Depth Estimation, Mancini, Michele, Costante Gabriele, Valigi Paolo, Ciarfuglia Thomas A., Delmerico Jeffrey, and Scaramuzza Davide , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {2}, Number {3}, p.1778-1785, (2017)
J-MOD2: Joint Monocular Obstacle Detection and Depth Estimation, Mancini, Michele, Costante Gabriele, Valigi Paolo, and Ciarfuglia Thomas Alessandro , IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {3}, Number {3}, p.1490-1497, (2018)