Off-Road Obstacle Avoidance through End-to-End Learning

作者: Eric Cosatto , Beat Flepp , Jan Ben , Urs Muller , Yann L. Cun

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摘要: … system and the target outputs, averaged over all samples. … can detect obstacles and predict appropriate steering angles in the … of the left and right cameras. Another visualization of the …

参考文章(13)
S.B. Goldberg, M.W. Maimone, L. Matthies, Stereo vision and rover navigation software for planetary exploration ieee aerospace conference. ,vol. 5, pp. 5- 5 ,(2002) , 10.1109/AERO.2002.1035370
Sebastian Thrun, Learning metric-topological maps for indoor mobile robot navigation Artificial Intelligence. ,vol. 99, pp. 21- 71 ,(1998) , 10.1016/S0004-3702(97)00078-7
C. Thorpe, M.H. Hebert, T. Kanade, S.A. Shafer, Vision and navigation for the Carnegie-Mellon Navlab IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 10, pp. 362- 372 ,(1988) , 10.1109/34.3900
L. Matthies, E. Gat, R. Harrison, B. Wilcox, R. Volpe, T. Litwin, Mars microrover navigation: performance evaluation and enhancement intelligent robots and systems. ,vol. 1, pp. 433- 440 ,(1995) , 10.1109/IROS.1995.525832
Y. Lecun, L. Bottou, Y. Bengio, P. Haffner, Gradient-based learning applied to document recognition Proceedings of the IEEE. ,vol. 86, pp. 2278- 2324 ,(1998) , 10.1109/5.726791
D.J. Kriegman, E. Triendl, T.O. Binford, Stereo vision and navigation in buildings for mobile robots international conference on robotics and automation. ,vol. 5, pp. 792- 803 ,(1989) , 10.1109/70.88100
Nicholas Ayache, Olivier D. Faugeras, Maintaining representations of the environment of a mobile robot international conference on robotics and automation. ,vol. 5, pp. 804- 819 ,(1989) , 10.1007/978-1-4613-8997-2_16
E. Krotkov, M. Hebert, Mapping and positioning for a prototype lunar rover international conference on robotics and automation. ,vol. 3, pp. 2913- 2919 ,(1995) , 10.1109/ROBOT.1995.525697
Y. LeCun, Fu Jie Huang, L. Bottou, Learning methods for generic object recognition with invariance to pose and lighting Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.. ,vol. 2, pp. 97- 104 ,(2004) , 10.1109/CVPR.2004.1315150