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Robust and reliable traffic sign detection is necessary to bring autonomous vehicles onto our roads.
“Very deep convolutional networks for large-scale image recognition,”
K. Simonyan and A. Zisserman, · 2015
Earlier work this paper cites.
“Going deeper with convolutions,”
C. Szegedy et al. , · 2015
Earlier work this paper cites.
“Recurrent convolutional neural network for object recognition,”
M. Liang and X. Hu, · 2015
Cited alongside, same era.
“CURE-TSR: Challenging unreal and real environments for traffic sign recognition,”
D. Temel, G. Kwon, M. Prabhushankar, and G. AlRegib, · 2017
Cited alongside, same era.
“CURE-TSD: Challenging unreal and real environments for traffic sign detection,” https://ghassanalregib.com/cure-tsd/
Cited in the paper.
“No need to worry about adversarial examples in object detection in autonomous vehicles,”
J. Lu, H. Sibai, E. Fabry, and D. Forsyth, · 2017
Later among the works it cites.
“Keeping the bad guys out: Protecting and vaccinating deep learning with jpeg compression,”
N. Das et al. , · 2017
Later among the works it cites.
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