Traffic Sign Recognition: A Survey

被引：15
作者：
Sanyal, Banhi [1 ]
Mohapatra, Ramesh Kumar [1 ]
Dash, Ratnakar [1 ]
机构：
[1] NIT Rourkela, Dept Comp Sci, Rourkela, Odisha, India
来源：
2020 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP) | 2020年
关键词：
Traffic Signs; Machine Learning; Object Detection; Image Processing; Traffic Sign Recognition; VIDEO;
D O I：
10.1109/aisp48273.2020.9072976
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
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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页数：6
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