Road condition acquisition and assessment are the key to guarantee their permanent
availability. In order to maintain a country's whole road network, millions of high-resolution …

Due to recent deep learning techniques, person detection seems to be solved in the
computer vision domain, however, it is still an issue in mobile robotics. On a robot only …

Detecting the objects from images and videos has always been the point of active research
area for the applications of computer vision and artificial intelligence namely robotics, self …

Efficient and robust person perception is one of the most basic skills a mobile robot must
have to ensure intuitive human-machine interaction. In addition to person detection, this also …

Aging public roads need frequent inspections in order to guarantee their permanent
availability. Using deep neural networks, the process of detecting pavement distress can be …

Implementing pedestrian detection real-time embedded systems remains a major challenge.
Detecting pedestrians in an advanced driver assistance system requires a lot of time and …

In spite of the large number of existing methods, pedestrian detection remains an open
challenge. In recent years, deep learning classification methods combined with multi …

Public infrastructures are suffering from aging and therefore need frequent inspection.
Distress detection and a solid management for maintenance are the key to guarantee their …

Using mobile robots in rehabilitation is an upcoming trend in the field of robotic healthcare. A
possible application is robot assisted self-training after orthopedic knee or hip …

The combination of multi-modal image fusion schemes with deep learning classification
methods, and particularly with Convolutional Neural Networks (CNNs) has achieved …