Journal article
A Hybrid MAV for Ingress and Egress of Urban Environments
IEEE transactions on robotics, v 25(2)
01 Apr 2009
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Small bird-sized aerial robots are expendable and can fly over obstacles and through small openings to assist in the acquisition and distribution of intelligence during reconnaissance, surveillance, and search-and-rescue missions in urban environments. However, limited flying space and densely populated obstacle fields require a vehicle that is capable of hovering but is also maneuverable. A secondary flight mode was incorporated into a fixed-wing aircraft to preserve its maneuverability while adding the capability of hovering. An inertial measurement sensor and onboard flight control system were interfaced and used to transition the hybrid prototype from cruise to hover flight and sustain a hover autonomously. Furthermore, the hovering flight mode can be used to maneuver the aircraft through small openings such as doorways. An ultrasonic and infrared sensor suite was designed to follow exterior building walls until an ingress route was detected. Reactive control was then used to traverse the doorway and gather reconnaissance. This paper describes the holistic approach of platform development, sensor suite design, and control of the hybrid prototype.
Metrics
Details
- Title
- A Hybrid MAV for Ingress and Egress of Urban Environments
- Creators
- William E. Green - Alliant Techsystems (United States)Paul Y. Oh - Institute of Robotics and Intelligent Systems
- Publication Details
- IEEE transactions on robotics, v 25(2)
- Publisher
- IEEE
- Number of pages
- 11
- Grant note
- 0347430 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:000265372800004
- Scopus ID
- 2-s2.0-67349180264
- Other Identifier
- 991019350588904721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Robotics