This paper presents the details and preliminary results of a saliency-based attention mechanism that is part of an architecture designed to detect and recognise traffic signs from a set of images.

Traffic Sign Recognition (TSR) is now relatively well-handled by several approaches. However, traffic signs are often completed by one (or several) supplementary placed below. They are essential for correct interpretation of main sign, as they specify its applicability scope. difficulty of supplementary sub-sign recognition potentially infinite number of classes, as nearly any can be written on...

The study of traffic sign detection has been of great interests and often addressed by a three-stage procedure involving detection, tracking and classification. Road safety is an issue of national concern and its impacts is on the economy, public health and the general welfare of the people. We report on-going efforts to develop an intelligent agent for detecting and tracking traffic signs for ...

The availability of large-scale databases containing street-level panoramic images offers the possibility to perform semi-automatic surveying of real-world objects such as traffic signs. These inventories can be performed significantly more efficiently than using conventional methods. Governmental agencies are interested in these inventories for maintenance and safety reasons. This paper introd...

Abstract Aiming at the problem of poor detection accuracy and inaccurate positioning traffic signs under foggy conditions, this paper proposes an improved YOLOv3 algorithm. Firstly, a data set Chinese in environment is constructed; The dark channel priori algorithm based on guided filtering used to process image with fog, which overcomes quality degradation caused by fog. Mosaic enhancement per...

Traffic sign recognition is a difficult task if aim is at detecting and recognizing signs in images captured from unfavorable environments. Complex background, weather, shadow, and other lighting-related problems may make it difficult to detect and recognize signs in the rural as well as the urban areas. Two major problems exist in the whole detection process. Road signs are frequently occluded...

Establishing the current road type constitutes a significant assistance to car drivers, as, by default, determines legal speed limit. Although there are GPS- and map-based navigation systems that can retrieve actual limit some even access indicate traffic volumes, it was our aim develop test software prototype of road-type detection (RTD) system relies solely on video sensor data collected boar...