Obstacle detection in single images with deep neural networks
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Ming Zhu | Weiguo Feng | Baozhi Jia | M. Zhu | Weiguo Feng | Baozhi Jia
[1] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[2] Andreas Geiger,et al. Are we ready for autonomous driving? The KITTI vision benchmark suite , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Xiaonan Luo,et al. Real-time background subtraction-based video surveillance of people by integrating local texture patterns , 2014, Signal Image Video Process..
[4] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[5] J.-Y. Bouguet,et al. Pyramidal implementation of the lucas kanade feature tracker , 1999 .
[6] Simon Haykin,et al. GradientBased Learning Applied to Document Recognition , 2001 .
[7] Stefan Roth,et al. Efficient Multi-cue Scene Segmentation , 2013, GCPR.
[8] Carlo Tomasi,et al. Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[9] Yoshua Bengio,et al. Greedy Layer-Wise Training of Deep Networks , 2006, NIPS.
[10] Wilfried Enkelmann,et al. Obstacle detection by evaluation of optical flow fields from image sequences , 1990, Image Vis. Comput..
[11] Rui Liu,et al. Real-time obstacle detection with motion features using monocular vision , 2014, The Visual Computer.
[12] R. Kennedy,et al. Defense Advanced Research Projects Agency (DARPA). Change 1 , 1996 .
[13] Matthew Turk,et al. Color Road Segmentation And Video Obstacle Detection , 1987, Other Conferences.
[14] Illah R. Nourbakhsh,et al. Appearance-Based Obstacle Detection with Monocular Color Vision , 2000, AAAI/IAAI.
[15] Marc'Aurelio Ranzato,et al. Efficient Learning of Sparse Representations with an Energy-Based Model , 2006, NIPS.
[16] Andreas Geiger,et al. Vision meets robotics: The KITTI dataset , 2013, Int. J. Robotics Res..
[17] Gaurav S. Sukhatme,et al. Real-time Motion Tracking from a Mobile Robot , 2010, Int. J. Soc. Robotics.
[18] Derek C. Schuurman,et al. Vision-based obstacle detection using a support vector machine , 2009, 2009 Canadian Conference on Electrical and Computer Engineering.
[19] Christian Goerick,et al. Artificial neural networks in real-time car detection and tracking applications , 1996, Pattern Recognit. Lett..
[20] C. Laugier,et al. Real-time moving obstacle detection using optical flow models , 2006, 2006 IEEE Intelligent Vehicles Symposium.