Architecture Requirements for Ethical, Accurate, and Resilient Unmanned Aerial Personal Remote Sensing
Document Type
Presentation
Publication Date
4-10-2014
Faculty Mentor
YangQuan Chen
Abstract
In the coming 20 years, unmanned aerial data collection will be of great importance to many sectors of civilian life. Of these systems, Personal Remote Sensing (PRS) sUASs, or sUASs designed for scientific data collection, will need special attention due to their low cost and high value for farming, scientific and search-and-rescue use, among countless others. Cyber-physical systems, large-scale, pervasive control systems that tightly couple sensing and actuation through technology and the environment can use sUASs as sensors and actuators, leading to even bigger possibilities for benefit from sUASs. However, this nascent robotic technology of small unmanned aerial systems (sUASs) present as many problems as new possibilities due to the issues surrounding the abilities of these systems to perform safely and effectively for personal, academic, and business use. For these systems, whose missions are defined by the data they are sent to collect, safe and reliable mission quality is of highest importance. Much like the dawning of civil manned aviation, civilian sUAS flights demand privacy, accountability, and other ethical factors for societal integration, while safety of the civilian national airspace (NAS) is always of utmost importance. While the growing popularity of this technology will drive a great effort to integrate sUASs into the NAS, the only long-term solution to this integration problem is one of proper architecture. This research presents an set of architectural requirements for this integration is presented: the architecture for ethical aerial information sensing or AERIS. AERIS provides a cohesive set of requirements for any architecture or set of architectures designed for safe, ethical, accurate aerial data collection.
Recommended Citation
Coopmans, Calvin, "Architecture Requirements for Ethical, Accurate, and Resilient Unmanned Aerial Personal Remote Sensing" (2014). Graduate Research Symposium. Paper 20.
https://digitalcommons.usu.edu/grs/20