DeepDriving: Learning affordance for direct perception in autonomous driving

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2015 International Conference on Computer Vision, ICCV 2015, Issue , 2015, Pages 2722-2730

  Chen, Chenyi ^a   Seff, Ari ^a   Kornhauser, Alain ^a   Xiao, Jianxiong ^a  

^a PRINCETON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL STORAGE; NEURAL NETWORKS; VIRTUAL REALITY;

AUTONOMOUS DRIVING; CONVOLUTIONAL NEURAL NETWORK; DISTANCE ESTIMATION; HUMAN DRIVING; LEVEL OF ABSTRACTION; PROJECT WEBSITE; REAL DRIVINGS; VISION BASED;

COMPUTER VISION;

EID: 84973888858     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2015.312     Document Type: Conference Paper

References (22)

1. M. Aly. Real time detection of lane markers in urban streets. In Intelligent Vehicles Symposium, 2008 IEEE, pages 7-12. IEEE, 2008. 2, 5
2. C.-C. Chang and C.-J. Lin. LibSVM: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology (TIST), 2 (3): 27, 2011. 5
3. D. Erhan, C. Szegedy, A. Toshev, and D. Anguelov. Scalable object detection using deep neural networks. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. 3
4. P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained partbased models. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 32 (9): 1627-1645, 2010. 2
5. A. Geiger, M. Lauer, C. Wojek, C. Stiller, and R. Urtasun. 3d traffic scene understanding from movable platforms. Pattern Analysis and Machine Intelligence (PAMI), 2014. 2, 7
6. A. Geiger, P. Lenz, C. Stiller, and R. Urtasun. Vision meets robotics: The kitti dataset. The International Journal of Robotics Research, 2013. 1, 2, 3, 6
7. J. J. Gibson. The ecological approach to visual perception. Psychology Press, 1979. 2
8. 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 (CVPR), 2014. 3
9. R. Hadsell, P. Sermanet, J. Ben, A. Erkan, M. Scoffier, K. Kavukcuoglu, U. Muller, and Y. LeCun. Learning longrange vision for autonomous off-road driving. Journal of Field Robotics, 26 (2): 120-144, 2009. 3
10. Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell. Caffe: Convolutional architecture for fast feature embedding. arXiv preprint arXiv: 1408. 5093, 2014. 4
11. J. Koutník, G. Cuccu, J. Schmidhuber, and F. J. Gomez. Evolving large-scale neural networks for vision-based torcs. In FDG, pages 206-212, 2013. 2
12. A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems, pages 1097-1105, 2012. 3, 4
13. P. Lenz, J. Ziegler, A. Geiger, and M. Roser. Sparse scene flow segmentation for moving object detection in urban environments. In Intelligent Vehicles Symposium (IV), 2011 IEEE, pages 926-932. IEEE, 2011. 2
14. U. Muller, J. Ben, E. Cosatto, B. Flepp, and Y. L. Cun. Offroad obstacle avoidance through end-to-end learning. In Advances in neural information processing systems, pages 739-746, 2005. 3
15. G. F. Newell. Nonlinear effects in the dynamics of car following. Operations research, 9 (2): 209-229, 1961. 4
16. A. Oliva and A. Torralba. Modeling the shape of the scene: A holistic representation of the spatial envelope. International journal of computer vision, 42 (3): 145-175, 2001. 3
17. D. A. Pomerleau. Alvinn: An autonomous land vehicle in a neural network. Technical report, DTIC Document, 1989. 1, 2
18. D. A. Pomerleau. Neural network perception for mobile robot guidance. Technical report, DTIC Document, 1992. 1, 2
19. S. Ullman. Against direct perception. Behavioral and Brain Sciences, 3 (03): 373-381, 1980. 1
20. P. Weinzaepfel, J. Revaud, Z. Harchaoui, and C. Schmid. Deepflow: Large displacement optical flow with deep matching. In Computer Vision (ICCV), 2013 IEEE International Conference on, pages 1385-1392. IEEE, 2013. 3
21. B. Wymann, E. Espié, C. Guionneau, C. Dimitrakakis, R. Coulom, and A. Sumner. TORCS, The Open Racing Car Simulator. http: //www. Torcs. org, 2014. 3
22. H. Zhang, A. Geiger, and R. Urtasun. Understanding highlevel semantics by modeling traffic patterns. In Computer Vision (ICCV), 2013 IEEE International Conference on, pages 3056-3063. IEEE, 2013. 2