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

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

4 September 2015
H. W. Ho
Christophe De Wagter
B. Remes
Guido de Croon
    SSL
ArXivPDFHTML

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

5 / 5 papers shown
Title
EdgeFlowNet: 100FPS@1W Dense Optical Flow For Tiny Mobile Robots
EdgeFlowNet: 100FPS@1W Dense Optical Flow For Tiny Mobile Robots
Sai Ramana Kiran Pinnama Raju
Rishabh Singh
Manoj Velmurugan
Nitin J. Sanket
110
1
0
21 Nov 2024
Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for
  Urban Autonomy
Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for Urban Autonomy
Dan Barnes
William P. Maddern
Ingmar Posner
SSeg
52
123
0
05 Oct 2016
Free-Space Detection with Self-Supervised and Online Trained Fully
  Convolutional Networks
Free-Space Detection with Self-Supervised and Online Trained Fully Convolutional Networks
Willem P. Sanberg
Gijs Dubbelman
Peter H. N. de With
35
26
0
08 Apr 2016
ORB-SLAM: a Versatile and Accurate Monocular SLAM System
ORB-SLAM: a Versatile and Accurate Monocular SLAM System
Raul Mur-Artal
José M.M. Montiel
Juan D. Tardós
52
6,351
0
03 Feb 2015
Vision and Learning for Deliberative Monocular Cluttered Flight
Vision and Learning for Deliberative Monocular Cluttered Flight
Debadeepta Dey
Kumar Shaurya Shankar
S. Zeng
Rupeshkumar Mehta
M. T. Agcayazi
Christopher Eriksen
S. Daftry
M. Hebert
J. Andrew Bagnell
31
56
0
24 Nov 2014
1