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NTIS 바로가기한국정보통신학회논문지 = Journal of the Korea Institute of Information and Communication Engineering, v.25 no.8, 2021년, pp.1117 - 1123
임헌국 (Division of Computer Engineering, Hoseo University)
Object recognition is to identify the location and class of a specific object by analyzing the given image when a specific image is input. One of the fields in which object recognition technology is actively applied in recent years is autonomous vehicles, and this paper describes the trend of image-...
K. Park, M. Lee, S. Noh, S. Park, C. Lee, J. Woo, and K. Jung, "Object recognition deep learning network and implementation method for autonomous vehicles," The Magazine of the IETE, vol. 46, no. 1, pp. 18-29, 2019.
J. Park, "Artificial Intelligence Technology Trends in Autonomous Vehicles," IITP Weekly Technology Trends, pp. 1-16, Aug. 2018.
N. Gawk, "Image Recognition Trends for Autonomous Vehicles," Auto Journal, Jun. 2018.
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, "You Only Look Once: Unified, Real-Time Object Detection," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 779-788, 2016.
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C. Y. Fu, and A. C. Berg, "SSD: Single Shot MultiBox Detector," European Conference on Computer Vision (ECCV), pp. 21-37, 2016.
H. Xu and G. Srivastava, "Automatic recognition algorithm of traffic signs based on convolution neural network," Multimedia Tools and Applications, vol. 79, Jan. 2020.
J. Kim, J. Kim, G. Jang, and M. Lee, "Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection," Neural Networks, vol. 87, Mar. 2017.
V. John, Z. Liu, S. Mita, C. Guo, and K. Kidono, "Real-time road surface and semantic lane estimation using deep features," Signal, Image and Video Processing, vol. 12, Mar. 2018.
D. Neven, B. D. Brabandere, S. Georgoulis, M. Proesmans, and L. V. Gool, "Towards End-to-End Lane Detection: an Instance Segmentation Approach," arXiv: 1802.05591, 2018.
A. Krizhevsky, I. Sutskever, and G. E. Hinton, "Imagenet classification with deep convolutional neural networks," Advances in Neural Information Processing Systems, pp. 1106-1114, 2012.
M. Mancini, G. Costante, P. Valigi, and T. A. Ciarfuglia, "J-MOD2: Joint monocular obstacle detection and depth estimation," IEEE Robot. Autom. Lett., vol. 3, no. 3, pp. 1490-1497, 2018.
B. Huval, B. Huval, T. Wang, S. Tandon, J. Kiske, W. Song, J. Pazhayampallil, M. Andriluka, P. Rajpurkar, T. Migimatsu, F. Mujica, A. Coates, and A. Y. Ng, "An empirical evaluation of deep learning on highway driving," Apr. 2015.
R. Girshick, J. Donahue, T. Darrell, and J. Malik, "Rich feature hierarchies for accurate object detection and semantic segmentation," 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp. 580-587, Jun. 2014.
S. Ren, K. He, R. Girshick, and J. Sun, "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 6, pp. 1137-1149, 2017.
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