References
- J. Rebut, B. Bradai, J. Moizard, A. Charpentierhi, "A Monocular Vision Based Advanced Lighting Automation System for Driving Assistance," Proceedings of IEEE International Symposium on Industrial Electronics, pp. 311-316, 2009.
- Mobileye, Adaptive Headlight Control, Available: http://www.mobileye-vision.com, http://www.mobileye.com/technology/applications/head-lamp-control.
- G. Elger, B. Spinger, N. Bienen, N. Benter, "LED Matrix Light Source for Adaptive Driving Beam Applications," Proceedings of IEEE Electronic Components and Technology Conference, pp. 535-540, 2013.
- M. Dassanayake, R. Miller, S. Abdelnour, M. S. Wrobel Jr, J. Shannon, "Adaptive Front Lighting System for a Vehicle," U.S. Patent No. 7,540,638, 2009.
- P.F. Alcantarilla, L.M. Bergasa, P.Jimenez, M.A. Sotelo, I. Parra, D. Fernandez, "Night Time Vehicle Detection for Driving Assistance Light Beam Controller," Proceedings of IEEE Intelligent Vehicles Symposium, pp. 291-296, 2008.
- V.B. Sutar1, L.S. Admuthe, "Night Time Vehicle Detection and Classification Using Support Vector Machine," IOSR Journal of VLSI and Signal Processing, Vol. 1, No. 4, pp. 1-9, 2012. https://doi.org/10.9790/4200-0140109
- H. Lim, H, Lee, J.H. Park, H. Jung, "Night-time Vehicle Detection Based on Multi-class SVM," IEMEK J. Embed. Sys. Appl., Vol. 10, No. 5, 2015 (in Korean).
- H. Wang, Y. Cai, X. Chen, L. Chen, "Night-Time Vehicle Sensing in far Infrared Image With Deep Learning," Journal of Sensors, 2016.
- M. Szarvas, U. Sakai, J. Ogata, "Real-time Pedestrian Detection Using LIDAR and Convolutional Neural Networks," Proceedings of IEEE Intelligent Vehicles Symposium. 2006.
- W. S. McCulloch, W. Pitts, "A Logical Calculus of the Ideas Immanent in Nervous Activity," The bulletin of mathematical biophysics Vol. 5, No. 4, pp. 115-133, 1943. https://doi.org/10.1007/BF02478259
- Y. LeCun, L. Bottou, Y. Bengio, P. Haffner, "Gradient-based Learning Applied to Document Recognition," Proceedings of the IEEE Vol. 86, No. 11, pp. 2278-2324, 1998. https://doi.org/10.1109/5.726791
- A. Krizhevsky, I. Sutskever, G. E. Hinton, "Imagenet classification with deep convolutional neural networks," Advances in neural information processing systems, pp. 1097-1105, 2012.
- R. Girshick, J. Donahue, T. Darrell, J. Malik, "Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation," Proceedings of IEEE conference on computer vision and pattern recognition pp. 580-587.
- S. Ren, K. He, R. Girshick, J. Sun, "Faster r-cnn: Towards Real-time Object Detection With Region Proposal Networks," In Advances in neural information processing systems, pp. 91-99, 2015.
- A. Krizhevsky, G. Hinton. "Convolutional Deep Belief Networks on cifar-10," Unpublished manuscript 40, 2010.