Ricerc@Sapienza

La tecnologia che amplifica la realtà come pure i mezzi tecnologici di acquisizione dei dati, stanno continuando ad avere uno svilup
-
po difficilmente controllabile o prevedibile. Progetti di un certo interesse, nascono, si sviluppano e muoiono talvolta senza produrre
risultati significativi, ma costituendosi come fasi di un processo fluido e dinamico, sul quale vengono costruite nuove applicazioni
software e sistemi hardware. Allo stesso tempo, il ruolo dell’accademia sembra venire spesso scavalcato da ciò che viene sviluppato
dalla
citizen

In this paper, we analyze the coordination problem
of groups of aerial robots for assembly applications. With
the enhancement of aerial physical interaction, construction
applications are becoming more and more popular. In this
domain, the multi-robot solution is very interesting to reduce
the execution time. However, new methods to coordinate teams
of aerial robots for the construction of complex structures are
required. In this work, we propose an assembly planner that
considers both assembly and geometric constraints imposed

Preliminary analysis of an archaeological site requires the acquisition of information by several diverse diagnostic techniques. Remote sensing plays an important role especially in spatially ex-tended and not easily accessible sites for the purposes of preventive and rescue archaeology, landscape archaeology, and intervention planning. In this paper, we present a case study of a de-tailed topographic survey based on a light detection and ranging (LiDAR) sensor carried by an unmanned aerial vehicle (UAV; also known as drone).

The advent of various wireless technologies has paved the way for the realization of new infrastructures and applications for smart cities. Wireless Sensor Networks (WSNs) are one of the most important among these technologies. WSNs are widely used in various applications in our daily lives.

UAV based photogrammetry and 3D mapping are gaining fast and wide applications around the world majorly due to the relatively low-cost advantage it offers in the acquisition of high resolution multispectral acquisitions, compared to Aerophotogrammetry and satellite acquisitions. This research seeks to demonstrate the applicability of UAV photogrammetry visible, multispectral and thermal in investigating some physiological indexes of plants, reflecting plant physiological traits.

Abstract—Fleets of cooperative drones are a powerful tool in monitoring critical scenarios requiring early anomaly discovery and
intervention. Due to limited energy availability and application requirements, drones may visit target points in consecutive trips, with
recharging and data offloading in between. To capture timeliness of intervention and prioritize early coverage, we propose the new
notion of Weighted Progressive Coverage, which is based on the definition of time dependent weights. Weighted progressive coverage

The aim of this work is to develop a dynamic optimization strategy to allocate communication and computation resources in a Multi-access Edge Computing (MEC) scenario, where Unmanned Aerial Vehicles (UAVs) act as flying base station platforms endowed with computation capabilities to provide edge cloud services on demand. Hinging on stochastic optimization tools, we propose a dynamic algorithmic framework that minimizes the overall energy spent by the system, while imposing latency constraints, and optimizing the altitude of the UAV in an online fashion.

Abstract—In recent years, the use of UAVs (Unmanned Aerial
Vehicles) to boost mobile networking technology performance is
rising interest in the scientific community. UAVs can be used as
aerial relays to be deployed in 4G/LTE networks. Small scale
UAVs, such as quadrotors or small fixed wing drones, are able
to carry a wide variety of sensors, actuators and communication
equipments. Due to the increasing interest in this field, UAVs
have become more and more affordable and even off-the-shelf

Obstacle detection is a fundamental task for Unmanned Aerial Vehicles (UAV) as a part of a Sense and Avoid system. In this study, we present a method of multi-sensor obstacle detection that demonstrated good results on different kind of obstacles. This method can be implemented on low-cost platforms involving a DSP or small FPGA. In this paper, we also present a study on the typical targets that can be tough to detect because of their characteristics of reflectivity, form factor, heterogeneity and show how data fusion can often overcome the limitations of each technology.

Video streaming data acquired by Unmanned Aerial Vehicles is an innovative service that will be leveraged by several applications ranging from entertainment and surveillance to disaster recovery. 360 cameras provide unprecedented visual information and enable services to a novel level of immersive experience. However, 360 video sources are not still fully characterized, and this holds especially true for drone mounted 360 video sources.