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[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[13]
large-scale image recognition”, arXiv preprint arXiv: 1409.1556, 2014.
[14] S. Suchitra, R.K. Satzoda, T. Srikanthan, “Detection & classification
of arrow marking on roads using signed edge signatures”, Intelligent
Vehicles Symposium. IEEE41-46, 2015.
[15] K. Simonyan, A. Zisserman, “Very deep convolutional networks for
large-scale image recognition”, arXiv preprint arXiv: 1409.1556, 2014.
[16] T.Y. Lin, P. Goyal, B. Ross, K.M. Girshick., He, P. Dollár, “Focal Loss
for Dense Object Detection”, IEEE International Conference on
Computer Vision (ICCV), pp. 2999-3007, 2017.
[17] Z.X. Li, F.Q. Zhou, “FSSD: Feature Fusion Single Shot Multibox
Detector”, ArXiv preprinr arXiv: 1712.00960, 2017.
[18] C. Szegedy, S. loffe, V. Vanhoucke, A. Al, “Inception-v4, inception-
resnet and the impact of residual connections on learning”, In AAAI
Conference on Artificial Intelligence, 2017.
[19] T.Y. Lin, P. Dollárj, R. Girshick, K. He, B. Hariharan, S. Belongi,
“Feature pyramid networks for object detection”, In CVPR, 2017.
[20] J. Yamamoto, S. Karungaru, K. Terada, “Road surface traffic sign
detection with hybrid region proposal and fast R-CNN”, International
Conference on Natural Computation and, Fuzzy Systems and
Knowledge Discovery, pp. 555-559, 2016.
[21] H.M . Ren, et al, “Research on road traffic sign recognition based on
vehicle camera”, Hefei University of Technology, 2017.
[22] P. Geiger, C. Lenz, Stiller, R. Urtasun, “Vision meets Robotics: The
KITTI Dataset”, International Journal of Robotics Research, vol. 32,
no. 11, 2013.
for accurate object detection and semantic segmentation”, In CVPR,
2014.
R. Girshick, “Fast r-cnn”, In ICVV, pp. 1440-1448, 2015.
S. Ren, K. He, R. Girshick, J. Sun, “Faster R-CNN: Towards real-time
object detection with region proposal networks”, In NIPS, 2015.
J. Dai, Y. Li, K. He, J.R Sun, “FCN: Object detection Via Region-
based fully convolutional networks”, In NIPS, 2016.
W. Liu, D. Anguelov, D. Erhan,., C. Szegedy, S. Reed, “SSD: Single
shot multibox detector”, In ECCV, 2016.
J. Redmon, S. Divvala, R. Girshick, A. Farhadi, “You only look once:
Unified, real-time object detection”, In CVPR, 2016.
J. Redmon, A. Farhadi, “YOLO9000: Better, faster, stronger”, In
CVPR, 2017.
Z. Zhu, D. Liang, S. Zhang, X. Huang, B. Li, S. Hu, “Traffic-sign
detection and classification in the wild”, In CVPR, 2016.
B. Huval, T. Wang, S. Tandon., J. Kiske, W. Song, J. Pazhayampallil,
M. Andriluka, P. Rajpurkar, T.,R,C.Y Migimatsu, “An empirical
Evaluation of deep learning on highway driving”, ArXiv preprinr
arXiv:1504.01716, 2015.
P. Foucher, Y. Sebsadji, J .P Tarel, et al, “Detection and recognition of
urban road markings using images”, International IEEE Conference on
Intelligent Transportation Systems. IEEE, 2011.
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, Y. LeCun,
“Overfeat: Integrated recognition, localization and detection using
convolutional networks”, CoRR, abs/1312.6229, 2013.
K. Simonyan. A. Zisserman, “Very deep convolutional networks for
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