The demand for several sources of situational data from the traffic environment has
intensified in recent years, through the development of applications in intelligent transport …

In this paper, we present a structured literature mapping of the state-of-the-art of vehicular
perception methods and approaches using inertial sensors. An in-depth investigation and …

The surface condition of roadways has direct consequences on a wide range of processes
related to the transportation technology, quality of road facilities, road safety, and traffic noise …

Maintenance has a major impact on the financial plan of road managers. To ameliorate road
conditions and reduce safety constraints, distress evaluation methods should be efficient …

The demand for a variety of situational data from the traffic environment and its participants
has intensified with the development of applications in Intelligent Transport Systems (ITS) …

Sensory information of vehicular perception has been applied in recent years in a wide
variety of domains such as in supporting decision to intelligent agents in autonomous …

It is demonstrated that data augmentation is a promising approach to reduce the size of the
captured dataset required for training automatic road surface classifiers. The context is on …

With the rise of intelligent cities, the artificial intelligence methods for road condition
monitoring can benefit road information services of the smart city, making inspection and …

Accurate and efficient road recognition is very important for the control of mobile robots and
autonomous vehicles. In this article, a new road surface recognition method based on 24 …

Speed bumps are vertical raisings of the road pavement used to force drivers to slow down
to ensure greater safety in traffic. However, these obstacles have disadvantages in terms of …