The high variability of sign appearance in uncontrolled environments has made the
detection and classification of road signs a challenging problem in computer vision. In this …

Map** with surveying equipment is a time-consuming and cost-intensive procedure that
makes the frequent map updating unaffordable. In the last few years, much research has …

Geoinformation inventories are often employed as a tool for providing a comprehensive view
onto the required state of traffic control infrastructure. They are especially important in road …

This paper addresses detection, tracking and recognition of traffic signs in video. Previous
research has shown that very good detection recalls can be obtained by state-of-the-art …

The ability to efficiently utilize crowd-sourced visual data carries immense potential for the
domains of large scale dynamic map** and autonomous driving. However, state-of-the-art …

The limitation, which applies when capturing traffic signs in a conventional manner using a
camera which is oriented to the front with respect to the vehicle, to capturing traffic signs that …

Traffic sign maintenance requires periodic on-site inspection to determine if signs are in
good conditions and visible, both day and night. However, periodic inspections are time and …

Autonomous vehicles and driver assistance systems utilize maps of 3D semantic landmarks
for improved decision making. However, scaling the map** process as well as regularly …

We consider geoinformation inventory systems containing locations and types of traffic signs
and road surface markings in a given geographical region. Such systems allow a human …

Transportation departments are required to monitor the condition of road signs through
appropriate condition assessment mechanisms to improve road safety and keep drivers …