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While emerging deep-learning systems have outclassed knowledge-based approaches in many tasks, their application to detection tasks for autonomous technologies remains an open field for scientific exploration.
Alvinn: An autonomous land vehicle in a neural network
Pomerleau, Dean A · 1989
Earlier work this paper cites.
GOLD: a parallel real-time stereo vision system for generic obstacle and lane detection
Bertozzi, M. and Broggi, A · 1998
Earlier work this paper cites.
Labeling images with a computer game
Von Ahn, Luis and Dabbish, Laura · 2004
Earlier work this paper cites.
Lane detection and tracking using b-snake
Wang, Yue, Teoh, Eam Khwang, and Shen, Dinggang · 2004
Earlier work this paper cites.
Lane detection with moving vehicles in the traffic scenes
Cheng, Hsu-Yung, Jeng, Bor-Shenn, Tseng, Pei-Ting, and Fan, Kuo-Chin · 2006
Earlier work this paper cites.
Automatic single-image 3d reconstructions of indoor manhattan world scenes
Delage, Erick, Lee, Honglak, and Ng, Andrew Y · 2007
Earlier work this paper cites.
Deep belief net learning in a long-range vision system for autonomous off-road driving
Hadsell, R., Erkan, A., Sermanet, P., Scoffier, M., Muller, U., and LeCun, Yann · 2008
Earlier work this paper cites.
Labelme: A database and web-based tool for image annotation
Russell, Bryan C., Torralba, Antonio, Murphy, Kevin P., and Freeman, William T · 2008
Earlier work this paper cites.
A semi-automatic system for ground truth generation of soccer video sequences
D’Orazio, T., Leo, M., Mosca, N., Spagnolo, P., and Mazzeo, P.L · 2009
Earlier work this paper cites.
Soylent: a word processor with a crowd inside
Bernstein, Michael S, Little, Greg, Miller, Robert C, Hartmann, Björn, Ackerman, Mark S, Karger, David R, Crowell, David, and Panovich, Katrina · 2010
Earlier work this paper cites.
A novel lane detection system with efficient ground truth generation
Borkar, A., Hayes, M., and Smith, M.T · 2011
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Virtual and Augmented Architecture (VAA’01): Proceedings of the International Symposium on Virtual and Augmented Architecture (VAA’01), Trinity College, Dublin, 21 -22 June 2001
Fisher, B., Dawson-Howe, K., and O’Sullivan, C · 2011
Cited alongside, same era.
Crowdforge: Crowdsourcing complex work
Kittur, Aniket, Smus, Boris, Khamkar, Susheel, and Kraut, Robert E · 2011
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Towards fully autonomous driving: Systems and algorithms
Levinson, Jesse, Askeland, Jake, Becker, Jan, Dolson, Jennifer, Held, David, Kammel, Soeren, Kolter, J. Zico, Langer, Dirk, Pink, Oliver, and Pratt, Vaughan et al · 2011
Cited alongside, same era.
Human computation: a survey and taxonomy of a growing field
Quinn, Alexander J and Bederson, Benjamin B · 2011
Cited alongside, same era.
Recursive deep models for semantic compositionality over a sentiment treebank
Socher, Richard, Perelygin, Alex, Wu, Jean Y, Chuang, Jason, Manning, Christopher D, Ng, Andrew Y, and Potts, Christopher · 2013
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Global status report on road safety
World Health Organization · 2013
Later among the works it cites.
Keeping the vehicle on the road
Yenikaya, Sibel, Yenikaya, Gökhan, and Düven, Ekrem · 2013
Later among the works it cites.
Deep speech: Scaling up end-to-end speech recognition
Hannun, Awni Y., Case, Carl, Casper, Jared, Catanzaro, Bryan C., Diamos, Greg, Elsen, Erich, Prenger, Ryan, Satheesh, Sanjeev, Sengupta, Shubho, Coates, Adam, and Ng, Andrew Y · 2014
Later among the works it cites.
Tohme: Detecting curb ramps in google street view using crowdsourcing, computer vision, and machine learning
Hara, Kotaro, Sun, Jin, Moore, Robert, Jacobs, David, and Froehlich, Jon · 2014
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Bar Hillel, Aharon, Lerner, Ronen, Levi, Dan, and Raz, Guy · 2012
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Are we ready for autonomous driving? the kitti vision benchmark suite
Geiger, A., Lenz, P., and Urtasun, R · 2012
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
Krizhevsky, Alex, Sutskever, Ilya, and Hinton, Geoffrey E · 2012
Cited alongside, same era.
Drivers With Hands Full Get a Backup: The Car
Markoff, John and Sengupta, Somini · 2013
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Deep learning: Machine learning via large-scale brain simulations, 2014
Ng, Andrew · 2014
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Imagenet large scale visual recognition challenge
Russakovsky, Olga, Deng, Jia, Su, Hao, Krause, Jonathan, Satheesh, Sanjeev, Ma, Sean, Huang, Zhiheng, Karpathy, Andrej, Khosla, Aditya, Bernstein, Michael S., Berg, Alexander C., and Fei-Fei, Li · 2014
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An Empirical Evaluation of Deep Learning on Highway Driving
Huval, B., Wang, T., Tandon, S., Kiske, J., Song, W., Pazhayampallil, J., Andriluka, M., Rajpurkar, P., Migimatsu, T., Cheng-Yue, R., Mujica, F., Coates, A., and Ng, A. Y · 2015
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GPU Technology Conference, 2015
Ng, Andrew · 2015
Closest in time.