Abstract
Journal: 16th International Conference on Advanced Computer Information Technologies in Zlín, Czech Republic, 2026
A GitOps-Driven Annotation Catalog for Fully Automatic Railway Operations
- Authors
- Martin Köppel, Tobias Cronauer, Zekiye Ilknur-Öz...
- Categories
- cs.RO, cs.CV
Brief
A GitOps-driven annotation catalog tackles the need for large, high-quality, provenance-rich datasets for AI-based perception in Automatic Train Operation (GoA3–GoA4). The authors propose a lightweight, developer-centric Data-as-Code design that leverages GitOps, CI/CD pipelines, and Static Site Generation to enforce traceability, regulatory compliance, and to auto-generate a performant dataset overview, reducing the operational complexity and documentation drift of traditional monolithic catalogs. Full paper was not available in the provided material; this summary is based on the abstract.
Why it matters
Proposes a GitOps-based, Data-as-Code metadata architecture that uses CI/CD pipelines and Static Site Generation to manage large-scale annotation metadata for Automatic Train Operation at GoA3–GoA4, aiming to guarantee traceability and regulatory compliance.
Key details
- Addresses concrete failings of monolithic data catalogs—high operational overhead, poor developer workflow integration, and documentation drift—by delivering a lightweight, developer-centric annotation catalog.
- Paper by Martin Köppel, Tobias Cronauer, Zekiye Ilknur-Öz et al., posted to arXiv 2026-08-05 (arXiv:2608.04724v1) and associated with the 16th International Conference on Advanced Computer Information Technologies in Zlín (2026); summary based on the abstract (full text not provided here).