Fetching the paper…
Reading the bibliography…
How do you learn to navigate an Unmanned Aerial Vehicle (UAV) and avoid obstacles? One approach is to use a small dataset collected by human experts: however, high capacity learning algorithms tend to overfit when trained with little data.
M. Montemerlo, S. Thrun, D. Koller, B. Wegbreit et al. , “Fastslam: A factored solution to the simultaneous localization and mapping problem,” 2002
2002
Earlier work this paper cites.
S. Thrun, Y. Liu, D. Koller, A. Y. Ng, Z. Ghahramani, and H. Durrant-Whyte, “Simultaneous localization and mapping with sparse extended information filters,” The International Journal of Robotics Research , vol. 23, no. 7-8, pp. 693–716, 2004
2004
Earlier work this paper cites.
J. F. Roberts, T. Stirling, J.-C. Zufferey, and D. Floreano, “Quadrotor using minimal sensing for autonomous indoor flight,” in European Micro Air Vehicle Conference and Flight Competition (EMAV2007) , no. LIS-CONF-2007-006, 2007
2007
Earlier work this paper cites.
G. Klein and D. Murray, “Parallel tracking and mapping for small AR workspaces,” in Proc. Sixth IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR’07) , Nara, Japan, November 2007
2007
Earlier work this paper cites.
A. G. Bachrach, “Autonomous flight in unstructured and unknown indoor environments,” Ph.D. dissertation, Massachusetts Institute of Technology, 2009
2009
Earlier work this paper cites.
M. Achtelik, A. Bachrach, R. He, S. Prentice, and N. Roy, “Stereo vision and laser odometry for autonomous helicopters in gps-denied indoor environments,” in SPIE Defense, security, and sensing . International Society for Optics and Photonics, 2009, pp. 733 219–733 219
2009
Earlier work this paper cites.
C. Bills, J. Chen, and A. Saxena, “Autonomous mav flight in indoor environments using single image perspective cues,” in Robotics and automation (ICRA), 2011 IEEE international conference on . IEEE, 2011, pp. 5776–5783
2011
Earlier work this paper cites.
C. Mei, G. Sibley, M. Cummins, P. Newman, and I. Reid, “Rslam: A system for large-scale mapping in constant-time using stereo,” International journal of computer vision , vol. 94, no. 2, pp. 198–214, 2011
2011
Earlier work this paper cites.
Z. Zhang, “Microsoft kinect sensor and its effect,” IEEE multimedia , vol. 19, no. 2, pp. 4–10, 2012
2012
Earlier work this paper cites.
P. Henry, M. Krainin, E. Herbst, X. Ren, and D. Fox, “Rgb-d mapping: Using kinect-style depth cameras for dense 3d modeling of indoor environments,” The International Journal of Robotics Research , vol. 31, no. 5, pp. 647–663, 2012
2012
Earlier work this paper cites.
A. Bry, A. Bachrach, and N. Roy, “State estimation for aggressive flight in gps-denied environments using onboard sensing,” in Robotics and Automation (ICRA), 2012 IEEE International Conference on . IEEE, 2012, pp. 1–8
2012
Cited alongside, same era.
F. Fraundorfer, L. Heng, D. Honegger, G. H. Lee, L. Meier, P. Tanskanen, and M. Pollefeys, “Vision-based autonomous mapping and exploration using a quadrotor mav,” in Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on . IEEE, 2012, pp. 4557–4564
2012
Cited alongside, same era.
A. Krizhevsky, I. Sutskever, and G. E. Hinton, “Imagenet classification with deep convolutional neural networks,” in NIPS , 2012
2012
Cited alongside, same era.
S. Ross, N. Melik-Barkhudarov, K. S. Shankar, A. Wendel, D. Dey, J. A. Bagnell, and M. Hebert, “Learning monocular reactive uav control in cluttered natural environments,” in Robotics and Automation (ICRA), 2013 IEEE International Conference on . IEEE, 2013, pp. 1765–1772
2013
T. Zhang, G. Kahn, S. Levine, and P. Abbeel, “Learning deep control policies for autonomous aerial vehicles with mpc-guided policy search,” in Robotics and Automation (ICRA), 2016 IEEE International Conference on . IEEE, 2016, pp. 528–535
2016
Later among the works it cites.
2016
Later among the works it cites.
L. Pinto and A. Gupta, “Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours,” ICRA , 2016
2016
Later among the works it cites.
2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
K. Schmid, T. Tomic, F. Ruess, H. Hirschmüller, and M. Suppa, “Stereo vision based indoor/outdoor navigation for flying robots,” in Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on . IEEE, 2013, pp. 3955–3962
2013
Cited alongside, same era.
J. Engel, T. Schöps, and D. Cremers, “Lsd-slam: Large-scale direct monocular slam,” in European Conference on Computer Vision . Springer, 2014, pp. 834–849
2014
Cited alongside, same era.
R. Girshick, J. Donahue, T. Darrell, and J. Malik, “Rich feature hierarchies for accurate object detection and semantic segmentation,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2014, pp. 580–587
2014
Cited alongside, same era.
2014
Cited alongside, same era.
V. Mnih, K. Kavukcuoglu, D. Silver, A. A. Rusu, J. Veness, M. G. Bellemare, A. Graves, M. Riedmiller, A. K. Fidjeland, G. Ostrovski et al. , “Human-level control through deep reinforcement learning,” Nature , 2015
2015
Cited alongside, same era.
2016
Later among the works it cites.
S. Levine, P. Pastor, A. Krizhevsky, and D. Quillen, “Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection,” ISER , 2016
2016
Later among the works it cites.
2016
Later among the works it cites.
2016
Later among the works it cites.
S. Shah, D. Dey, C. Lovett, and A. Kapoor, “Aerial Informatics and Robotics platform,” Microsoft Research, Tech. Rep. MSR-TR-2017-9, 2017
2017
Closest in time.