Combining Sensor Redundancy for Fault Detection in Navigation of an Autonomous Mobile Vehicle
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
For sensor faults (current and voltage) and environmental conditions (such as skidding, heating up, missing the trace), a sensor redundancy fault detection model was evaluated in the real environment with experimental testing.
“Sensor fault (current and voltage), envi-ronment (such as skidding, heating up, missing the trace) [127] | Sensor redundancy fault detection model | Evaluating the system in the real envi-ronment with experimental testing”
From Sensor-Based Prognostic Health Management of Advanced Driver Assistance System for Autonomous Vehicles: A Recent Survey (2022) · cites this paper as [127]
Cites
Application of Supervised and Unsupervised Learning Methods to Fault Diagnosis
Dalmi, I., Kovács, L., Lóránt, I., et al. (1999) · IFAC Proceedings Volumes · doi:10.1016/s1474-6670(17)57326-7 · Cited by 5 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Raouf, I., Khan, A., Khalid, S., Sohail, M., Azad, M. M., & Kim, H. S. (2022) · Mathematics · doi:10.3390/math10183233 · Cited by 41 · see citing works
- Authors
- Bikfalvi, P., & Lóránt, I.
- Affiliations
- University of Miskolc (HU)
- Corresponding author
- Bikfalvi, Péter
- Lóránt, István
- Venue
- IFAC Proceedings Volumes
- Publisher
- Elsevier BV
- Published
- 2000-06
- Volume
- 33
- Issue
- 11
- Pages
- 843-847
- ISSN
- 1474-6670 (ISSN-L)
- OpenAlex
- W2618259900
- Cited by
- 1
- References
- 1
- Citations by year
- 2022: 1
- FWCI
- 0.00
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IFAC Proceedings Volumes (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Control and Dynamics of Mobile Robots
- Physical Sciences › Engineering › Aerospace Engineering › Robotics and Sensor-Based Localization
- Keywords
- autonomous mobile vehicles, sensor redundancy, fault detection, fault diagnosis, navigation, path planning, obstacle avoidance, mobile robot control
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