Full metadata
Title
Environment Sensor Coverage using Multi-Agent Headings
Description
This work describes an approach for distance computation between agents in a
multi-agent swarm. Unlike other approaches, this work relies solely on signal Angleof-
Arrival (AoA) data and local trajectory data. Each agent in the swarm is able
to discretely determine distance and bearing to every other neighbor agent in the
swarm. From this information, I propose a lightweight method for sensor coverage
of an unknown area based on the work of Sameera Poduri. I also show that this
technique performs well with limited calibration distances.
multi-agent swarm. Unlike other approaches, this work relies solely on signal Angleof-
Arrival (AoA) data and local trajectory data. Each agent in the swarm is able
to discretely determine distance and bearing to every other neighbor agent in the
swarm. From this information, I propose a lightweight method for sensor coverage
of an unknown area based on the work of Sameera Poduri. I also show that this
technique performs well with limited calibration distances.
Date Created
2020
Contributors
- Mulford, Philip (Author)
- Das, Jnaneshwar (Thesis advisor)
- Takahashi, Timothy (Committee member)
- Phelan, Patrick (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
53 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.62755
Level of coding
minimal
Note
Masters Thesis Mechanical Engineering 2020
System Created
- 2020-12-08 12:00:06
System Modified
- 2021-08-26 09:47:01
- 3 years 3 months ago
Additional Formats