This thesis presents extensions to the local binary pattern (LBP) texture analysis operator.
The operator is defined as a gray-scale invariant texture measure, derived from a general …

This work provides a general description of the multi sensor data fusion concept, along with
a new classification of currently used sensor fusion techniques for unmanned underwater …

In the context of underwater robotics, the visual degradation induced by the medium
properties make difficult the exclusive use of cameras for localization purpose. Hence, many …

Vision based motion estimation algorithms are widely used in ground-based and aerial
robotics. Combined with inertial measurement units, they have proven to be a precise and …

The use of Autonomous Underwater Vehicles (AUVs) for underwater tasks is a promising
robotic field. These robots can carry visual inspection cameras. Besides serving the activities …

Visual odometry (VO) relies on sequential camera images to estimate robot motion. For
underwater robots, this is often complicated by turbidity, light attenuation, and environments …

In this paper, the problem of the surveillance and the security of indoor environments is
addressed through the development of an autonomous surveillance vehicle (ASV). The ASV …

This paper introduces a new visual odometry method for underwater vehicles. It is based on
images grabbed by a monocular video camera, and aided by inertial and pressure …

This paper concerns the autonomous tracking of fish using a Remotely Operated Vehicle
(ROV) equipped with a single camera. An efficient image processing algorithm is presented …

This thesis addresses the problem of real-time 3D localization and map** in underwater
environments. In the underwater archaeology field, Remotely Operated Vehicles (ROVs) are …