The DOI matches its Crossref record.
A low-cost and low-weight attitude estimation system for an autonomous helicopter
Abstract
In this paper a low-cost and low-weight attitude estimation system for an autonomous helicopter is presented. The system is based on an inclinometer and a rate gyro. The data coming from the sensors is fused through a complementary filter. In this way the slow dynamics of the inclinometer can be effectively compensated. Tests have shown that a very effective attitude estimation system can be achieved.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Nonlinear Complementary Filters on the Special Orthogonal Group
Mahony, R., Hamel, T., & Pflimlin, J.-M. (2008) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2008.923738 · Cited by 1,751
Mechatronic design of NAO humanoid
Gouaillier, D., Hugel, V., Blazevic, P., Kilner, C., Monceaux, J., Lafourcade, P., Marnier, B., Serre, J., & Maisonnier, B. (2009) · 2009 IEEE International Conference on Robotics and Automation · doi:10.1109/robot.2009.5152516 · Cited by 567
Keeping a Good Attitude: A Quaternion-Based Orientation Filter for IMUs and MARGs
Valenti, R., Dryanovski, I., & Xiao, J. (2015) · Sensors · doi:10.3390/s150819302 · Cited by 357
Attitude and gyro bias estimation for a VTOL UAV
Metni, N., Pflimlin, J.-M., Hamel, T., & Souères, P. (2006) · Control Engineering Practice · doi:10.1016/j.conengprac.2006.02.015 · Cited by 110
Joint Angle Measurement Using Strategically Placed Accelerometers and Gyroscope
Vikas, V., & Crane, C. D. (2016) · Journal of Mechanisms and Robotics · doi:10.1115/1.4031299 · Cited by 15
Metadata
- Authors
- Baerveldt, A.-J., & Klang, R.
- Venue
- Proceedings of IEEE International Conference on Intelligent Engineering Systems
- Publisher
- IEEE
- Published
- 2002-11-23
- Pages
- 391-395
- OpenAlex
- W2162264349
- Cited by
- 193
- References
- 0
- FWCI
- 10.76
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A low-cost and low-weight attitude estimation system for an autonomous helicopter. https://app.cochat.ai/papers/10.1109/ines.1997.632450
- The paper
- Baerveldt, A.-J., & Klang, R. (2002). A low-cost and low-weight attitude estimation system for an autonomous helicopter. Proceedings of IEEE International Conference on Intelligent Engineering Systems. https://doi.org/10.1109/ines.1997.632450
Data sources
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.
