참고문헌
- A. Krizhevsky, I. Sutskever, and G.E. Hinton, "ImageNet Classification with Deep Convolutional Neural Networks," NIPS, 2012.
- D. Silver, A. Huang, C.J. Maddison, A. Guez, L. Sifre, G. van den Driessche, J. Schrittwieser, I. Antonoglou, V. Panneershelvam, M. Lanctot, S. Dieleman, D. Grewe, J. Nham, N. Kalchbrenner, I. Sutskever, T. Lillicrap, M. Leach, K. Kavukcuoglu, T. Graepel, and D. Hassabis, "Mastering the game of Go with deep neural networks and tree search," Nature 529, pp. 484-489, January, 2016. https://doi.org/10.1038/nature16961
- Sejin Lee, Dong-Woo Cho, and Jae-Bok Song, "Novel Sonar Salient Feature Structure for Extended Kalman Filter-Based Simultaneous Localization and Mapping of Mobile Robots," Advanced Robotics, vol. 26, no. 8-9, pp. 1055-1074, July 2012.
- S. Thrun, M. Montemerlo, H. Dahlkamp, D. Stavens, A. Aron, J. Diebel, P. Fong, J. Gale, M. Halpenny, G. Hoffmann, K. Lau, C. Oakley, M. Palatucci, V. Pratt, P. Stang, S. Strohband, C. Dupont, L. Jendrossek, C. Koelen, C. Markey, C. Rummel, J. van Niekerk, E. Jensen, P. Alessandrini, G. Bradski, B. Davies, S. Ettinger, A. Kaehler, A. Nefian, and P. Mahoney, "Stanley: The robot that won the DARPA Grand Challenge," Journal of Field Robotics, vol. 23, no. 9, pp. 661-692, September 2006. https://doi.org/10.1002/rob.20147
- Seunguk Ahn, Yungeun Choe, and Myung Jin Chung, "Fast Scene Understanding in Urban Environments for an Autonomous Vehicle equipped with 2D Laser Scanners," Journal of Korea Robotics Society, vol. 7, no. 2, pp. 92-100, June 2012. https://doi.org/10.7746/jkros.2012.7.2.092
- Sejin Lee, Byung-Jae Park, Jong-Hwan Lim, Wan-Kyun Chung, and Dong-Woo Cho, "Grid Map Building through Neighborhood Recognition Factor of Sonar Data," Journal of Korea Robotics Society, vol. 2, no. 3, pp. 227-233, September 2007.
- Geoffrey E. Hinton, Simon Osindero, and Yee-Whye Teh, "A Fast Learning Algorithm for Deep Belief Nets," Neural Computation, vol. 18, no. 7, pp. 1527-1554, May 2006. https://doi.org/10.1162/neco.2006.18.7.1527
- J.F. Lalonde, N. Vandapel, D.F. Huber, and M. Hebert, "Natural Terrain Classification using Three-Dimensional Ladar Data for Ground Robot Mobility," Journal of Field Robotics, vol. 23, no. 10, pp. 839-861, October 2006. https://doi.org/10.1002/rob.20134
- A. Golovinskiy, V.G. Kim, and T. Funkhouser, "Shapebased Recognition of 3D Point Clouds in Urban Environments," in IEEE 12th International Conference on Computer Vision, Tyoko, September 2009, pp. 2154-2161.
- X. Zhu, H. Zhao, Y. Liu, Y. Zhao, and H. Zha, "Segmentation and Classification of Range Image from an Intelligent Vehicle in Urban Environment," in IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, October 2010, pp. 1457-1462.
- H. Zhao, Y. Liu, X. Zhu, Y. Zhao, and H. Zha, "Scene Understanding in a Larhge Dynamic Environment through a Laser-based Sensing," in IEEE International Conference on Robotics and Automation, Anchorage, May 2010, pp. 128-133.
- Yungeun Choe, Inwook Shim, and Myung Jin Chung, "Urban structure classification using the 3D normal distribution transform for practical robot applications," Advanced Robotics, vol. 27, no. 5, pp. 351-371, February 2013. https://doi.org/10.1080/01691864.2013.763724
- Yong-Ju Lee and Jae-Bok Song, "Three-dimensional iterative closest point-based outdoor SLAM using terrain classification," Intelligent Service Robotics, vol. 4, no. 2, pp. 147-158, 2011. https://doi.org/10.1007/s11370-011-0087-6
- Martin Magnusson, "The Three-Dimensional Normal-Distributions Transform - an Efficient Representation for Registration, Surface Analysis, and Loop Detection," Doctoral Dissertation, Orebro University, 2009.
- R. Socher, B. Huval, B.P. Bath, C.D. Manning, A.Y. Ng, "Convolutional-recursive deep learning for 3D object classification," NIPS, 2012.
- Y. Bengio, P. Lamblin, D. Popovici, and H. Larochelle, "Greedy Layer-Wise Training of Deep Networks," Advances in neural information processing systems, vol. 19, pp. 153-160, January 2007.
- D.H. Ackley, G.E. Hinton, and T.J. Sejnowski, "A learning algorithm for Boltzmann machines," Cognitive Science, vol. 9, no. 1, pp. 147-169, 1985. https://doi.org/10.1207/s15516709cog0901_7
피인용 문헌
- LiDAR Image Segmentation using Convolutional Neural Network Model with Refinement Modules vol.13, pp.1, 2018, https://doi.org/10.7746/jkros.2018.13.1.008
- Development of Modified Spherical Signature Descriptor Using 3D Point Cloud Data and Application to Convolutional Neural Network for Urban Structure Classification vol.20, pp.1, 2016, https://doi.org/10.17958/ksmt.20.1.201802.18
- Spherically Stratified Point Projection: Feature Image Generation for Object Classification Using 3D LiDAR Data vol.21, pp.23, 2016, https://doi.org/10.3390/s21237860