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

, , , and . CoRR, (2015)

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Adaptive Gain Control Strategy for Constant Optical Flow Divergence Landing., , , , and . IEEE Trans. Robotics, 34 (2): 508-516 (2018)Optical-Flow based Self-Supervised Learning of Obstacle Appearance applied to MAV Landing., , , and . CoRR, (2015)Adaptive Control Strategy for Constant Optical Flow Divergence Landing., , , , and . CoRR, (2016)GABRIEL: A Design Environment for Programmable DSPs., , , , , , and . DAC, page 141-146. ACM Press, (1989)Gabriel: a design environment for DSP., , , , and . IEEE Trans. Acoustics, Speech, and Signal Processing, 37 (11): 1751-1762 (1989)Optical flow for self-supervised learning of obstacle appearance., , , and . IROS, page 3098-3104. IEEE, (2015)Numerical solutions of time-varying TS-fuzzy-model-based time-delay dynamic equations via orthogonal functions., , and . Int. J. Systems Science, 38 (5): 377-387 (2007)Variation Based Online Travel Time Prediction Using Clustered Neural Networks., , , and . ITSC, page 85-90. IEEE, (2008)Gabriel: a design environment for DSP., , , , , , and . IEEE Micro, 10 (5): 28-45 (1990)Integrating Task- and Work Domain-Based Work Analyses in Ecological Interface Design: A Process Control Case Study., , , and . IEEE Trans. Systems, Man, and Cybernetics, Part A, 37 (6): 887-905 (2007)