Indian traffic sign detection and recognition using deep learning

Rajesh Kannan Megalingam1, Kondareddy Thanigundala1, Sreevatsava Reddy Musani1, Hemanth Nidamanuru1, Lokesh Gadde1
1Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, Kerala, India

Tài liệu tham khảo

Avramović, 2020, Neural-network-based traffic sign detection and recognition in high-definition images using region focusing and parallelization, IEEE Access, 8, 189855, 10.1109/ACCESS.2020.3031191

Aziz, 2020, Exploring deep learning-based architecture, strategies, applications and current trends in generic object detection: A comprehensive review, IEEE Access, 8, 170461, 10.1109/ACCESS.2020.3021508

Chen, 2016, Accurate and efficient traffic sign detection using discriminative AdaBoost and support vector regression, IEEE Trans. Veh. Technol., 65, 4006, 10.1109/TVT.2015.2500275

Girshick, R., (2015). Fast R-CNN. IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, 2015, pp. 1440-1448,doi: 10.1109/ICCV.2015.169.

Greenhalgh, 2012, Real-time detection and recognition of road traffic signs, IEEE Trans. Intell. Transp. Syst., 13, 1498, 10.1109/TITS.2012.2208909

Greenhalgh, 2015, Recognizing text-based traffic signs, IEEE Trans. Intell. Transp. Syst., 16, 1360, 10.1109/TITS.2014.2363167

Guo, 2020, Mixed vertical-and-horizontal-text traffic sign detection and recognition for street-level scene, IEEE Access, 8, 69413, 10.1109/ACCESS.2020.2986500

He, K., Gkioxari, G., Dollár, P., Girshick, R., (2017). Mask R-CNN. In: 2017 IEEE International Conference on Computer Vision (ICCV), Venice, Italy, pp. 2980-2988, doi: 10.1109/ICCV.2017.322.

Hu, 2016, Fast detection of multiple objects in traffic scenes with a common detection framework, IEEE Trans. Intell. Transp. Syst., 17, 1002, 10.1109/TITS.2015.2496795

Huang, 2017, An efficient method for traffic sign recognition based on extreme learning machine, IEEE Trans. Cybern., 47, 920, 10.1109/TCYB.2016.2533424

Kamada, H., Naoi, S., Gotoh, T. (1990). A compact navigation system using image processing and fuzzy control. In: IEEE Proceedings on Southeastcon, 1990, pp. 337-342 vol.1,doi: 10.1109/SECON.1990.117829.

Lee, 2018, Simultaneous traffic sign detection and boundary estimation using convolutional neural network, IEEE Trans. Intell. Transp. Syst., 19, 1652, 10.1109/TITS.2018.2801560

Liu, 2016, Fast traffic sign recognition via high-contrast region extraction and extended sparse representation, IEEE Trans. Intell. Transp. Syst., 17, 79, 10.1109/TITS.2015.2459594

Lopez-Montiel, 2021, Evaluation method of deep learning-based embedded systems for traffic sign detection, IEEE Access, 9, 101217, 10.1109/ACCESS.2021.3097969

Luo, 2018, Traffic sign recognition using a multi-task convolutional neural network, IEEE Trans. Intell. Transp. Syst., 19, 1100, 10.1109/TITS.2017.2714691

Majid, 2016, Analysis of factors temporarily impacting traffic sign readability, Int. J. Transp. Sci. Technol., 5, 60, 10.1016/j.ijtst.2016.09.003

Mammeri, 2013, Design of traffic sign detection, recognition, and transmission systems for smart vehicles, IEEE Wireless Commun., 20, 36, 10.1109/MWC.2013.6704472

Mogelmose, 2012, Vision-based traffic sign detection and analysis for intelligent driver assistance systems: Perspectives and survey, IEEE Trans. Intell. Transp. Syst., 13, 1484, 10.1109/TITS.2012.2209421

Temel, 2020, Traffic sign detection under challenging conditions: a deeper look into performance variations and spectral characteristics, IEEE Trans. Intell. Transp. Syst., 21, 3663, 10.1109/TITS.2019.2931429

Timofte, 2011, Combining traffic sign detection with 3D tracking towards better driver assistance, 425

Wong, 2018, MicronNet: a highly compact deep convolutional neural network architecture for real-time embedded traffic sign classification, IEEE Access, 6, 59803, 10.1109/ACCESS.2018.2873948

Yang, 2016, Towards real-time traffic sign detection and classification, IEEE Trans. Intell. Transp. Syst., 17, 2022, 10.1109/TITS.2015.2482461

Zaklouta, 2012, Real-time traffic-sign recognition using tree classifiers, IEEE Trans. Intell. Transp. Syst., 13, 1507, 10.1109/TITS.2012.2225618

Zhang, 2020, Seam-carved image tampering detection based on the cooccurrence of adjacent LBPs, Secur. Commun. Netw., 2020, 12, 10.1155/2020/8830310

Zhu, 2016, Traffic sign detection and recognition using fully convolutional network guided proposals, Neurocomputing, 214, 758, 10.1016/j.neucom.2016.07.009

He, 2021, Automatic recognition of traffic signs based on visual inspection, IEEE Access, 9, 43253, 10.1109/ACCESS.2021.3059052