The expansion of autonomous driving operations requires the research and development of
accurate and reliable self-localization approaches. These include visual odometry methods …

This article presents an innovative hybrid imaging system that provides dense and accurate
3D information from harsh underwater environments. The proposed system is called …

Understanding the surrounding 3D scene is of the utmost importance for many robotic
applications. The rapid evolution of machine learning techniques has enabled impressive …

Cable-driven robots have received some attention by the scientific community and, recently,
by the industry because they can transport hazardous materials with a high level of safeness …

This review describes a number of biologically inspired principles that have been applied to
the visual guidance, navigation and control of Unmanned Aerial System (UAS). The current …

Ego-motion estimation plays a critical role in autonomous driving systems by providing
accurate and timely information about the vehicle's position and orientation. To achieve high …

Recent advances in visual motion detection and interpretation have made possible the
rising of new robotic systems for autonomous and active surveillance. In this line of research …

This article discusses the motion analysis based on dense optical flow fields and for a new
generation of robotic moving systems with real-time constraints. It focuses on a surveillance …

This research presents an innovative mobile robotic system designed for active surveillance
operations. This mobile robot moves along a rail and is equipped with a monocular camera …

This thesis introduces a new approach for estimating kinematic quantities, namely the angle
the relative speed, and the acceleration from an actual single motion blur image using the …