Data flying on the future: integrating unmanned aerial vehicles (UAV) and artificial intelligence (AI) for autonomous driving implementation

De Simone, Cristina (A.A. 2020/2021) Data flying on the future: integrating unmanned aerial vehicles (UAV) and artificial intelligence (AI) for autonomous driving implementation. Tesi di Laurea in Management of innovation, Luiss Guido Carli, relatore Federica Ceci, pp. 132. [Master's Degree Thesis]

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Abstract/Index

The importance of data. Big data characteristics. Data value chain. Digital transformation. Big data and RBV: Venn diagram. Achieving business impact with data. From data collection to adoption. Covid impact on big data. Ecosystems. Organization design. Player’s expectations and different levels of ecosystem. Data ecosystem. Digital transformation and sustainability model. Empirical context. Drones connotations. Dronus. Biella. Who is here and what are its expectations? The market of drones, their characteristics and applications. Current application of drones. Building information modelling (BIM). Geographic information system. Technical description. Digital surface model and digital terrain model. Photogrammetry and LiDAR. Method. Authorization landscape. EASA eRules definitions. UAS categories. Process of data through the value chain. Here elaboration of data. Expectation for the future.

References

Bibliografia e sitografia: pp. 100-104.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Management, English language (LM-77)
Chair: Management of innovation
Thesis Supervisor: Ceci, Federica
Thesis Co-Supervisor: Federici, Tommaso
Academic Year: 2020/2021
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 11 Jan 2022 12:43
Last Modified: 11 Jan 2022 12:43
URI: https://tesi.luiss.it/id/eprint/31083

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