计算机科学
特征提取
多样性(控制论)
交通标志识别
交通标志
领域(数学)
特征(语言学)
人工智能
图像处理
符号(数学)
数据科学
图像(数学)
数学分析
哲学
纯数学
语言学
数学
作者
Banhi Sanyal,Ramesh Kumar Mohapatra,Ratnakar Dash
出处
期刊:International Conference on Artificial Intelligence
日期:2020-01-01
被引量:6
标识
DOI:10.1109/aisp48273.2020.9072976
摘要
In this survey, the need of traffic road safety has been discussed and an overview of traffic sign detection and recognition research works has been provided including novel, breakthrough approaches. Traffic sign databases and its inherent steps: Pre processing, Feature Extraction and Detection, Post processing have been discussed thoroughly. But most importantly an overall comparative study of efficiency over the various machine learning and image processing methods used has been drawn, in spite of the much variety in the used database. The challenges that are faced in spite of the increasing number of researches going on in the field of Traffic Sign Recognition (TSR) are also listed.
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