Space Efficient Airspace Geofence Volume Sizing
dc.contributor.author | Barkey, Christopher | |
dc.contributor.advisor | Atkins, Ella | |
dc.date.accessioned | 2023-05-26T17:51:55Z | |
dc.date.available | 2023-05-26T17:51:55Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/176697 | |
dc.description.abstract | This paper will present methodologies to construct space-efficient airspace geofence volumes around Unmanned Aircraft Systems (UAS) for two specific cases: longitudinal climbing/descending flight paths, and cooperatively controlled swarms for which a provable containment boundary can be defined. Airspace geofencing defines polygon or polyhedron boundaries that partition the airspace into available fly zones (keep-in boundaries) and no-fly zones (keep-out boundaries) to assure aircraft separation and obstacle/terrain avoidance. Geofencing is a key enabler for safe Unmanned Aircraft System (UAS) Traffic Management (UTM). In densely populated low-altitude airspace, UTM must safely and efficiently manage the airspace geofence volumes around different UAS missions. Particularly, UAS operations often include complex flight paths with several climb/descent phases for missions such as package delivery and search and rescue. Constructing spatially efficient geofences around climb/descent paths becomes increasingly important in densely populated airspace to maximize usable airspace for other UAS. For the case of swarm flight/containment control, a single geofence volume can be used to wrap the entire team for air traffic control treatment as a flight-of-n" vehicles, assuming the controller and connected network are robust. In both cases of climb/descent and swarm flight/containment control, the geofencing problem is to construct spatially efficient airspace volumes wrapping the UAS or swarm throughout its flight trajectory. This paper will extend our previous work \cite{kim2021volumization} in three-dimensional climb/descent geofence by generating parallelepiped airspace geofence volumes with variable ceilings and floors. This paper's parallelepiped geofencing for climb/descent trajectories complements previous work defining efficient airspace geofence volumes for optimal cruise trajectories \cite{kim2022airspace_2}. This paper extends previous work in single-vehicle geofencing to multi-agent teams following containment control by wrapping this team with a three-dimensional convex hull \cite{preparata1977convex}. Algorithms, case studies, and benchmark comparisons of geofence volume sizings will be presented in the full paper. | |
dc.subject | drone geofencing | |
dc.title | Space Efficient Airspace Geofence Volume Sizing | |
dc.type | Project | |
dc.subject.hlbtoplevel | Engineering | |
dc.description.peerreviewed | NA | |
dc.contributor.affiliationum | Mechanical Engineering | |
dc.contributor.affiliationumcampus | Ann Arbor | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/176697/1/Space_Efficient_Airspace_Geofence_Volume_Sizing_-_Christopher_Barkey.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/176697/2/Space_Efficient_Airspace_Geofence_Volume_Sizing_Poster_-_Christopher_Barkey.pdf | |
dc.identifier.doi | https://dx.doi.org/10.7302/7546 | |
dc.working.doi | 10.7302/7546 | en |
dc.owningcollname | Honors Program, The College of Engineering |
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