The Implications of Using Unmanned Vehicles in Applications Involving Sensitive Data

1 Application Project Paper: Initial Topic Proposals The following are the three suggested topics for the application project paper The Implications of Using Unmanned Vehicles in Applications Involving Sensitive Data Including Personal Identifying Information In the public spaces where the unmanned vehicles will be operating, there is unlikely to be any notice given to people regarding the collection and use of their personal identifying information. Commercial fleets of unmanned vehicles can collect location and movement data about people due to their sensors. The information can pass through various data processing locations that are subject to regulations on the handling of personal identifying information, and in some cases, there might be leaks of such information, hence the need to investigate and discover the implications of the issue.

Buy this excellently written paper or order a fresh one from acemyhomework.com

2

3 What Are the Factors Determining the Efficiency in Design and Operation of Unmanned Vehicles in Ground Applications?

Handling risks and determining the benefits of applications for unmanned vehicles inground applications should lead to the right decisions regarding the suitability of going ahead with the applications (Murphy et al., 2016). Research on unmanned ground vehicles mostly focuses on their applications while neglecting the human-interaction concerns preceding the selection of particular unmanned vehicle options hence the need for the current study (GonzalezDe-Santos et al., 2020).

How Has the Growth in Technology and Trends in Unmanned Vehicles Impacted Agricultural Applications?

Precision agriculture together with the ongoing agrarian revolution extend the rationale for using advanced technology to improve productivity (Mammarella et al., 2020). Unmanned vehicles in agricultural applications hold many promises relating to productivity and its necessary to find out the extent of their current impact not only in productivity but also in other aspects of agriculture (Bacco et al., 2019).

4 References Bacco, M., Barsocchi, P., Ferro, E., Gotta, A., & Ruggeri, M. (2019). The digitisation of agriculture: a survey of research activities on smart farming. Array, 3–4, 100009. https://doi.org/10.1016/j.array.2019.100009 Bloom, C., Tan, J., Romjohn, J., & Bauer, L. (2017). Self-driving cars and data collection: Privacy perceptions of networked autonomous vehicles. Proceedings of the Thirteenth Symposium on Usable Privacy and Security (SOUPS 2017). https://www.ftc.gov/system/files/documents/public_comments/2017/11/00046141905.pdf Fabris, E. J., Sangalli, V. A., Soares, L. P., & Pinho, M. S. (2021). Immersive telepresence on the operation of unmanned vehicles. International Journal of Advanced Robotic Systems, 18(1), 1–13. https://doi.org/10.1177/1729881420978544 Gonzalez-De-Santos, P., Fernández, R., Sepúlveda, D., Navas, E., & Armada, M. (2020).

Unmanned ground vehicles for smart farms. In Agronomy - Climate Change & Food Security. https://doi.org/10.5772/intechopen.90683 Mammarella, M., Comba, L., Biglia, A., Dabbene, F., & Gay, P. (2020). Cooperative agricultural operations of aerial and ground unmanned vehicles. 2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), 224–229.

Murphy, R., Dufek, J., Sarmiento, T., Wilde, G., Xiao, X., Braun, J., Mullen, L., Smith, R., Allred, S., & Adams, J. (2016). Two case studies and gaps analysis of flood assessment for emergency management with small unmanned aerial systems. 2016 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), 54–61.

5