The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
A Fully Autonomous Indoor Quadrotor
Abstract
Recently, there has been increased interest in the development of autonomous flying vehicles. However, as most of the proposed approaches are suitable for outdoor operation, only a few techniques have been designed for indoor environments, where the systems cannot rely on the Global Positioning System (GPS) and, therefore, have to use their exteroceptive sensors for navigation. In this paper, we present a general navigation system that enables a small-sized quadrotor system to autonomously operate in indoor environments. To achieve this, we systematically extend and adapt techniques that have been successfully applied on ground robots. We describe all algorithms and present a broad set of experiments, which illustrate that they enable a quadrotor robot to reliably and autonomously navigate in indoor environments.
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Cites
Latombe, J.-C. (1991) · Springer eBooks · doi:10.1007/978-1-4615-4022-9 · Cited by 6,396
Monte Carlo localization for mobile robots
Dellaert, F., Fox, D., Burgard, W., & Thrun, S. (2003) · Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C) · doi:10.1109/robot.1999.772544 · Cited by 1,620
Self-citationAttitude stabilization of a VTOL quadrotor aircraft
Tayebi, A., & McGilvray, S. (2006) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2006.872519 · Cited by 1,023
Bouabdallah, S., & Siegwart, R. (2007) · 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems · doi:10.1109/iros.2007.4399042 · Cited by 812
Fast replanning for navigation in unknown terrain
Koenig, S., & Likhachev, M. (2005) · IEEE Transactions on Robotics · doi:10.1109/tro.2004.838026 · Cited by 697
Control of a quadrotor helicopter using visual feedback
Altug, E., Ostrowski, J. P., & Mahony, R. (2003) · Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292) · doi:10.1109/robot.2002.1013341 · Cited by 478
Real-time correlative scan matching
Olson, E. B. (2009) · 2009 IEEE International Conference on Robotics and Automation · doi:10.1109/robot.2009.5152375 · Cited by 361
The Stanford testbed of autonomous rotorcraft for multi agent control (STARMAC)
Hoffmann, G., Rajnarayan, D. G., Waslander, S. L., Dostal, D., Jang, J. S., & Tomlin, C. J. (2005) · The 23rd Digital Avionics Systems Conference (IEEE Cat. No.04CH37576) · doi:10.1109/dasc.2004.1390847 · Cited by 288
Learning for control from multiple demonstrations
Coates, A., Abbeel, P., & Ng, A. Y. (2008) · Proceedings of the 25th international conference on Machine learning - ICML '08 · doi:10.1145/1390156.1390175 · Cited by 228
Nonlinear Constraint Network Optimization for Efficient Map Learning
Grisetti, G., Stachniss, C., & Burgard, W. (2009) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2009.2026444 · Cited by 222 · cited 1×
“The optimization approach is discussed in detail in [16], and an open source version is available on OpenSLAM [4].”
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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
- Grzonka, S., Grisetti, G., & Burgard, W.
- Venue
- IEEE Transactions on Robotics
- Published
- 2012-02
- Volume
- 28
- Issue
- 1
- Pages
- 90-100
- ISSN
- 1552-3098 (ISSN-L)
- 1941-0468
- OpenAlex
- W2040938785
- Cited by
- 386
- References
- 21
- FWCI
- 53.84
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
