Refining Ground Truth Poses in Autonomous Driving Datasets via Neural Rendering
- DOI
- 10.48550/arxiv.2504.15776
- Published
- 2025
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- yes
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- supportingOpen access status: Normalized open-access status: open.
- supportingPublication license: A publication license was supplied: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode. Presence improves reuse transparency, not research validity.
- cautionPublication version: Identified as a preprint; peer review and later versions may change the record.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2504.15776,
title = {Refining Ground Truth Poses in Autonomous Driving Datasets via Neural Rendering},
author = {Herau, Quentin and Piasco, Nathan and Bennehar, Moussab and Roldão, Luis and Tsishkou, Dzmitry and Liu, Bingbing and Migniot, Cyrille and Vasseur, Pascal and Demonceaux, Cédric},
year = {2025},
doi = {10.48550/arxiv.2504.15776},
url = {https://doi.org/10.48550/arxiv.2504.15776}
}RIS
TY - JOUR TI - Refining Ground Truth Poses in Autonomous Driving Datasets via Neural Rendering AU - Herau, Quentin AU - Piasco, Nathan AU - Bennehar, Moussab AU - Roldão, Luis AU - Tsishkou, Dzmitry AU - Liu, Bingbing AU - Migniot, Cyrille AU - Vasseur, Pascal AU - Demonceaux, Cédric PY - 2025 DO - 10.48550/arxiv.2504.15776 UR - https://doi.org/10.48550/arxiv.2504.15776 ER -
APA
Quentin, H., Nathan, P., Moussab, B., Luis, R., Dzmitry, T., Bingbing, L., Cyrille, M., Pascal, V., & Cédric, D. (2025). Refining Ground Truth Poses in Autonomous Driving Datasets via Neural Rendering. https://doi.org/10.48550/arxiv.2504.15776
Source records
- datacite · retrieved 2026-09-25T22:51:55.516Z