1 Traffic signs are an integral element of any transportation network; however, keeping records of 2 those signs and their conditions is a tedious process, which is both time consuming and labour 3 intensive. As a result, many agencies around the world have been working towards automating the 4 process of sign collection. One form of automation is using remote sensing techniques to extract 5 tr...

Recently, autonomous vehicles, particularly self-driving cars, have received significant attention owing to rapid advancements in sensor and computation technologies. In addition to traffic sign recognition, road lane detection is one of the most important factors used in lane departure warning systems and autonomous vehicles for maintaining the safety of semi-autonomous and fully autonomous sy...

This paper presents an automatic road sign detection and recognition system that is based on a computational model of human visual recognition processing. Road signs are typically placed either by the roadside or above roads. They provide important information for guiding, warning, or regulating the behaviors drivers in order to make driving safer and easier. The proposed recognition system is ...

Studies of visual effects of road signs have shown that having dynamic imagery, and even better, animation, helps improve road signs as it increases a viewer’s attentiveness. However, currently existing animated imagery signs, which are usually digital billboards, have drawbacks including distraction caused by bright LED lights, large energy consumption, and expensiveness. To overcome the probl...

In this report we present the rst results of a very eecient scheme for vehicle detection in traac scenes. It is based on the detection of the shadows underneath the vehicles. The use of shadow as sign pattern was rst reported in 5]. Herein a histogram evaluation of the paved road sustains the speciication of a threshold value for the shaded areas. This threshold along with edge information lead...

Real-time road sign recognition has been of great interest for many years. This problem is often addressed in a two-stage procedure involving detection and classification. In this paper a novel approach to sign classification is proposed. In many previous studies focus was put on deriving a possibly most discriminative set of features from a large amount of training data using global selection ...

Real-time road sign recognition has been of great interest for many years. This problem is often addressed in a two-stage procedure involving detection and classification. In this paper a novel approach to sign representation and classification is proposed. In many previous studies focus was put on deriving a set of discriminative features from a large amount of training data using global featu...

Throughout Australia and much of the world, roadside advertising by means of billboards is commonplace but potentially distracting for drivers. As yet, there is little research into which specific aspects of driving performance might be affected by the presence of such advertising billboards. To investigate this, the present experiment used the ‘change detection’ paradigm to examine how billboa...