The recent boom of autonomous driving nowadays has made object detection in traffic
scenes a hot topic of research. Designed to classify and locate instances in the image, this is …

Research on damage detection of road surfaces using image processing techniques has
been actively conducted. This study makes three contributions to address road damage …

Pavement condition assessment provides information to make more cost-effective and
consistent decisions regarding management of pavement network. Generally, pavement …

Automated pavement distresses detection using road images remains a challenging topic in
the computer vision research community. Recent developments in deep learning have led to …

This technical paper presents the method that we use in the Road Damage Detection and
Classification Challenge, which is designed to detect damages contained in road images …

Pavement markings constitute an effective way of conveying regulations and guidance to
drivers. They constitute the most fundamental way to communicate with road users, thus …

Markings are essential elements of roads and are important for driving safety enforcement.
Traditional detection of marking defects relies on manual inspection, which is less effective …

This study proposes a computer vision-based damage inspection system for road markings.
In order to evaluate the degree of damage of a marking objectively, the proposed system …

Pedestrian crossings are an essential part of the urban landscape, providing safe passage
for pedestrians to cross busy streets. While some are regulated by timed signals and are …

This paper proposes DeepCounter, an automotive sensing system where deep learning
based image processing technology is used to automatically count the number of collected …