The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Survey of advances in guidance, navigation, and control of unmanned rotorcraft systems
Abstract
Recently, there has been growing interest in developing unmanned aircraft systems (UAS) with advanced onboard autonomous capabilities. This paper describes the current state of the art in autonomous rotorcraft UAS (RUAS) and provides a detailed literature review of the last two decades of active research on RUAS. Three functional technology areas are identified as the core components of an autonomous RUAS. Guidance, navigation, and control (GNC) have received much attention from the research community, and have dominated the UAS literature from the nineties until now. This paper first presents the main research groups involved in the development of GNC systems for RUAS. Then it describes the development of a framework that provides standard definitions and metrics characterizing and measuring the autonomy level of a RUAS using GNC aspects. This framework is intended to facilitate the understanding and the organization of this survey paper, but it can also serve as a common reference for the UAS community. The main objective of this paper is to present a comprehensive survey of RUAS research that captures all seminal works and milestones in each GNC area, with a particular focus on practical methods and technologies that have been demonstrated in flight tests. These algorithms and systems have been classified into different categories and classes based on the autonomy level they provide and the algorithmic approach used. Finally, the paper discusses the RUAS literature in general and highlights challenges that need to be addressed in developing autonomous systems for unmanned rotorcraft. © 2012 Wiley Periodicals, Inc.
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Cites
A model for types and levels of human interaction with automation
Parasuraman, R., Sheridan, T. B., & Wickens, C. D. (2000) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/3468.844354 · Cited by 4,195 · cited 1×
“In 2000, Parasuraman, Sheridan, and Wickens (2000) introduced a revised model of autonomy levels based on four classes of functions: information acquisition, infor- mation analysis, decision and action selection, and action implementation.”
BackgroundVision-Aided Inertial Navigation for Spacecraft Entry, Descent, and Landing
Mourikis, A. I., Trawny, N., Roumeliotis, S. I., Johnson, A. E., Ansar, A., & Matthies, L. (2009) · IEEE Transactions on Robotics · doi:10.1109/tro.2009.2012342 · Cited by 345 · cited 1×
“Another vision-aided inertial TRN system for pinpoint landing on Mars is presented in Mourikis et al. (2009).”
BackgroundA visual odometer for autonomous helicopter flight
Amidi, O., Kanade, T., & Fujita, K. (1999) · Robotics and Autonomous Systems · doi:10.1016/s0921-8890(99)00016-0 · Cited by 148
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Kerns, A. J., Shepard, D. P., Bhatti, J. A., & Humphreys, T. E. (2014) · Journal of Field Robotics · doi:10.1002/rob.21513 · Cited by 688
Augugliaro, F., Schoellig, A. P., & D'Andrea, R. (2012) · 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems · doi:10.1109/iros.2012.6385823 · Cited by 320
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Yu, X., & Zhang, Y. (2015) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2015.01.001 · Cited by 301
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Al-Kaff, A., Martín, D., García, F., Escalera, A. D. L., & María Armingol, J. (2018) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.09.033 · Cited by 246
Metadata
- Authors
- Kendoul, F.
- Venue
- Journal of Field Robotics
- Publisher
- Wiley
- Published
- 2012-01-18
- Volume
- 29
- Issue
- 2
- Pages
- 315-378
- ISSN
- 1556-4959 (ISSN-L)
- 1556-4967
- OpenAlex
- W1974204180
- Cited by
- 663
- References
- 3
- FWCI
- 80.35
- Type
- journal article
- Language
- en
- Open access
- closed
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