The paper presents a multi-robot cooperative framework to estimate the 3D position of dynamic targets, based on bearing-only vision measurements. The uncertainty of the observation provided by each robot equipped with a bearing-only vision system is effectively addressed for cooperative triangulation purposes by weighing the contribution of each monocular bearing ray in a probabilistic manner. ...

Imagery is the basic input element of the photogrammetric map production. For decades, aerial photography has been the dominant option to fulfill the imagery request of the photogrammetry and the other disciplines. Due to the significant development in the field of remote sensing spacecraft and the on-board sensors, space imagery has become a serious alternative to the aerial photography. High-...

This document describes the use of aerial photography and airborne LiDAR to estimate individual tree heights in forest stands. The advantages and disadvantages in the use of LiDAR systems are revised and a data fusion analysis with digital aerial photography is proposed. The work shows an example of these techniques in a forested area in Scotland. An algorithm has been devised to extract a high...

Coordinated Control of Unmanned Aerial Vehicles

The advantages of intelligent approaches such as the conjunction of artificial vision and the use of Unmanned Aerial Vehicles (UAVs) have been recently emerging. This paper presents a focused on obtaining scans of large areas of livestock system. Counting and monitoring of animal species can be performed with video recordings taken from UAVs. Moreover the system keeps track of the number of ani...

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Multiple multirotor Micro Aerial Vehicles (MAVs) sharing the same airspace require a reliable and robust collision avoidance technique. In this paper we address the problem of multi-MAV reactive collision avoidance. A model-based controller is employed to achieve simultaneously reference trajectory tracking and collision avoidance. Moreover, we also account for the uncertainty of the state esti...