全文总字数：7086字
1. 研究目的与意义（文献综述）
Design and Implementation of Road Sign Recognition Based on Deep Learning
2. 研究的基本内容与方案
purpose of topic:
in all these systems of modern automobiles, cameras based assistance systems are one of the most important components. recently, with the development of driver assistance systems and autonomous cars, detection and recognition of traffic scene objects based on computer vision become more and more indispensable. on the other hand, the deep learning methods, in particular convolutional neural networks have achieved excellent performance in a variety of computer vision tasks. this thesis document presents the contributions to the computer vision and deep learning methods of traffic scene objects detection and recognition.
3. 研究计划与安排
(1) 2020 / 1 / 7-2020 / 2 / 23: refer to the references and clarify the topics;
(2) 2020 / 2 / 24-2020 / 3 / 7: further read the literature, analyze and summarize; determine the technical route, complete and submit the opening report;
4. 参考文献（12篇以上）
1.soendoro w.d., supriana i. traffic sign recognition with color-based method, shape-arc estimation and svm; proceedings of the 2011 international conference on electrical engineering and informatics; bandung, indonesia. 17–19 july 2011. [google scholar]
2. li h., sun f., liu l., wang l. a novel traffic sign detection method via color segmentation and robust shape matching. neurocomputing. 2015; [google scholar]
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