A Box Regularized Particle Filter for state estimation with severely ambiguous and non-linear measurements
- DOI
- 10.1016/j.automatica.2019.02.033
- Published
- 2019-06
- Container
- Automatica
- Publisher
- Elsevier BV
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1016/j.automatica.2019.02.033,
title = {A Box Regularized Particle Filter for state estimation with severely ambiguous and non-linear measurements},
author = {Nicolas Merlinge and Karim Dahia and Hélène Piet-Lahanier and James Brusey and Nadjim Horri},
year = {2019},
journal = {Automatica},
doi = {10.1016/j.automatica.2019.02.033},
url = {https://doi.org/10.1016/j.automatica.2019.02.033}
}RIS
TY - JOUR TI - A Box Regularized Particle Filter for state estimation with severely ambiguous and non-linear measurements AU - Nicolas Merlinge AU - Karim Dahia AU - Hélène Piet-Lahanier AU - James Brusey AU - Nadjim Horri PY - 2019 JO - Automatica DO - 10.1016/j.automatica.2019.02.033 UR - https://doi.org/10.1016/j.automatica.2019.02.033 ER -
APA
Merlinge, N., Dahia, K., Piet-Lahanier, H., Brusey, J., & Horri, N. (2019). A Box Regularized Particle Filter for state estimation with severely ambiguous and non-linear measurements. Automatica. https://doi.org/10.1016/j.automatica.2019.02.033
Source records
- crossref · retrieved 2026-11-10T06:32:10.006Z