Real-time traffic sign detection network using DS-DetNet and lite fusion FPN-Reference-Cited by-同舟云学术

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Real-time traffic sign detection network using DS-DetNet and lite fusion FPN

Published:2021-04-18 Issue:6 Volume:18 Page:2181-2191
ISSN:1861-8200
Container-title:Journal of Real-Time Image Processing
language:en
Short-container-title:J Real-Time Image Proc

Author:

Ren Kun,Huang Long,Fan Chunqi,Han Honggui,Deng Hai

Funder

National Key Research and Development Project of China

Major Research Plan

Beijing Outstanding Young Scientist Program

Publisher

Springer Science and Business Media LLC

Subject

Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s11554-021-01102-1.pdf

Reference45 articles.

1. Maldonado-Bascon, S., Lafuente-Arroyo, S., Gil-Jimenez, P., Gomez-Moreno, H., Lopez-Ferreras, F.: Road-sign detection and recognition based on support vector machines. IEEE Trans. Intell. Transport. Syst. 8, 264–278 (2007)

2. Barnes, N., Zelinsky, A., Fletcher, L.S.: Real-time speed sign detection using the radial symmetry detector. IEEE Trans. Intell. Transport. Syst. 9(2), 322–332 (2008)

3. Mogelmose, A., Trivedi, M.M., Moeslund, T.B.: Vision-based traffic sign detection and analysis for intelligent driver assistance systems: perspectives and survey. IEEE Trans. Intell. Transport. Syst. 13(4), 1484–1497 (2012)

4. Greenhalgh, J., Mirmehdi, M.: Real-Time detection and recognition of road traffic signs. IEEE Trans. Intell. Transport. Syst. 13(4), 1498–1506 (2012)

5. Chen, T., Lu, S.J.: Accurate and efficient traffic sign detection using discriminative AdaBoost and support vector regression. IEEE Trans. Veh. Technol. 65(6), 4006–4015 (2016)

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