A Comparative Evaluation of Prominent Methods in Autonomous Vehicle Certification
🤖 AI Summary
The absence of a systematic framework and standardized methodology for the safety certification of autonomous vehicles hinders regulatory oversight and technical harmonization. Method: This study proposes a structured certification process framework that integrates functional safety (ISO 26262) and safety of the intended functionality (SOTIF, ISO 21448) requirements. It explicitly defines responsibilities, inputs/outputs, and methodological boundaries across key phases—design verification, simulation-based testing, on-road validation, and type approval. Through systematic literature review, multidimensional comparative analysis, and process modeling, the study evaluates the applicability and limitations of mainstream certification approaches, including scenario-driven testing, formal verification, and evidence-based argumentation. Contribution/Results: The framework provides a theoretically grounded and practically implementable foundation for developing an extensible, reproducible, and auditable certification system for autonomous vehicles, thereby advancing the realization of the “vision zero” goal in intelligent transportation systems.
Application Category
📝 Abstract
The"Vision Zero"policy, introduced by the Swedish Parliament in 1997, aims to eliminate fatalities and serious injuries resulting from traffic accidents. To achieve this goal, the use of self-driving vehicles in traffic is envisioned and a roadmap for the certification of self-driving vehicles is aimed to be determined. However, it is still unclear how the basic safety requirements that autonomous vehicles must meet will be verified and certified, and which methods will be used. This paper focuses on the comparative evaluation of the prominent methods planned to be used in the certification process of autonomous vehicles. It examines the prominent methods used in the certification process, develops a pipeline for the certification process of autonomous vehicles, and determines the stages, actors, and areas where the addressed methods can be applied.
Problem
Research questions and friction points this paper is trying to address.
Evaluating methods for verifying safety requirements in autonomous vehicles
Developing certification pipeline stages and actors for self-driving cars
Comparing prominent certification approaches to achieve Vision Zero goals
Innovation
Methods, ideas, or system contributions that make the work stand out.
Comparative evaluation of autonomous vehicle certification methods
Developed pipeline for certification process stages
Determined application areas for certification methods
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