In this paper, we propose a novel text-based traffic sign detection framework with two deep
learning components. More precisely, we apply a fully convolutional network to segment …

Traffic sign detection and recognition has been thoroughly studied for a long time. However,
traffic panel detection and recognition still remains a challenge in computer vision due to its …

For survey and maintenance of traffic signs, this paper presents a novel traffic sign occlusion
detection method using 3-D point clouds and trajectory data acquired by a mobile laser …

Traffic signs have great importance regarding smooth traffic flow and safe driving. However,
due to many distractions and capricious factors, spotting and perceiving them may become …

Text detection and recognition in images taken in uncontrolled environments still remains a
challenge in computer vision. This paper presents a method to extract the text depicted in …

In recent years, the automatic traffic signs recognition (TSR) has attracted researches'
attention and it becomes a great challenge in Intelligent Transport System (ITS). Because of …

Roads are one of the most important infrastructures in any country. The major problem on
road based transportation networks is accident. The need of the hour is to implement an …

ABSTRACT In Visual Object Detection, traffic sign detection and recognisation is a recurring
application domain. The automatic visual recognition and classification of the information …

Mobility is an element that is highly related to the development of society and the quality of
individual life. Through mass of automobile production and traffic infrastructure construction …

Traffic panels provide vital information on roads with the aid of iconic symbols and text
strings. Recognising these signs accurately at the right time is crucial for car drivers to …