Intelligent Transport System: Classification of Traffic Signs Using Deep Neural Networks in Real Time

Author:

Kumar Anukriti,Singh Tanmay,Vishwakarma Dinesh Kumar

Publisher

Springer Singapore

Reference16 articles.

1. Garg P, Chowdhury DR, More VN (2019) Traffic sign recognition and classification using YOLOv2, Faster RCNN and SSD. In: 10th international conference on computing, communication and networking technologies (ICCCNT) 2019

2. Canyong W (2018) Research and application of traffic sign detection and recognition based on deep learning. In: International conference on robots & intelligent system (ICRIS) 2018

3. Changzhen X, Cong W, Weixin M, Yanmei S (2017) A traffic sign detection algorithm based on deep convolutional neural network. In: IEEE international conference on signal and image processing (ICSIP) 2016

4. Mao X, Hijazi S, Casas R, Kaul P, Kumar R, Rowen C (2016) Hierarchical CNN for traffic sign recognition. In: Intelligent vehicles symposium (IV), 2016 IEEE. IEEE pp 130–135

5. Qian R, Yue Y, Coenen F, Zhang B (2016) Traffic sign recognition with convolutional neural network based on max pooling positions. In: 2016 12th international conference on natural computation, fuzzy systems and knowledge discovery (ICNC-FSKD). IEEE, pp 578–582

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