Literature Review on Vision-based Traffic Sign Detection and Recognition using Artificial Intelligence

Abstract

Abstract: With the expansion in the number of vehicles on the road, the development of technology, and other factors, safety has elevated to the top of automotive industries. Following traffic laws and regulations are essential in Advanced Driver Assistance Systems (ADAS) to prevent collisions. Over the past few decades, traffic sign recognition has gained significant interest due to its quick processing speed and the reduction of human interactions, which lowers risk with the assistance of Artificial Intelligence. While trying to focus on the road, drivers sometimes miss signage on the side of the road, which could be vulnerable for both them and the pedestrians. If the driver could be alerted effectively without having to change their focus, this issue may be avoided. When a sign is detected and recognised, the Traffic Sign Detection and Recognition (TSDR) system alerts the driver to any approaching signs. In addition to ensuring road safety, this also gives drivers a little more comfort while negotiating challenging or unfamiliar roads. This paper provides a comprehensive survey on traffic sign detection and recognition with details of algorithms, architectures, and methods implemented. Based on the investigation of several experts, this literature study was completed and may be used as a future reference