Optical-Flow based Self-Supervised Learning of Obstacle Appearance
applied to MAV Landing

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Optical-Flow based Self-Supervised Learning of Obstacle Appearance applied to MAV Landing

4 September 2015

Christophe De Wagter

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Papers citing "Optical-Flow based Self-Supervised Learning of Obstacle Appearance applied to MAV Landing"

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Title
EdgeFlowNet: 100FPS@1W Dense Optical Flow For Tiny Mobile RobotsIEEE Robotics and Automation Letters (RA-L), 2024 Sai Ramana Kiran Pinnama Raju Rishabh Singh Manoj Velmurugan Nitin J. Sanket 312 4 0 21 Nov 2024
Self-Supervised Joint Encoding of Motion and Appearance for First Person Action Recognition M. Planamente A. Bottino Barbara Caputo EgoV 131 3 0 10 Feb 2020
Mining Minimal Map-Segments for Visual Place Classifiers Tanaka Kanji 88 2 0 15 Sep 2019
Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception Federico Paredes-Valles Kirk Y. W. Scheper Guido C. H. E de Croon 182 171 0 28 Jul 2018
On-board Communication-based Relative Localization for Collision Avoidance in Micro Air Vehicle teams M. Coppola K. McGuire Kirk Y. W. Scheper Guido C. H. E de Croon 129 48 0 28 Sep 2016