# Is Scenario Generation Ready for SOTIF? A Systematic Literature Review

arXiv: https://arxiv.org/abs/2308.02273 · HTML: https://mlsanity.com/paper/2308.02273/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Aug 2023.

## Built on by (most cited first, 2 of 2)

- [GENESIS-RL: GEnerating Natural Edge-cases with Systematic Integration of Safety considerations and Reinforcement Learning](https://mlsanity.com/paper/2403.19062/) (2024)
- [A Systematic Literature Review on Safety of the Intended Functionality for Automated Driving Systems](https://mlsanity.com/paper/2503.02498/) (2025)

## Abstract (arXiv)

Scenario-based testing is considered state-of-the-art to verify and validate Advanced Driver Assistance Systems or Automated Driving Systems. Due to the official launch of the SOTIF-standard (ISO 21448), scenario-based testing becomes more and more relevant for releasing those Highly Automated Driving Systems. However, an essential missing detail prevent the practical application of the SOTIF-standard: How to practically generate scenarios for scenario-based testing? In this paper, we perform a Systematic Literature Review to identify techniques that generate scenarios complying with requirements of the SOTIF-standard. We classify existing scenario generation techniques and evaluate the characteristics of generated scenarios wrt. SOTIF requirements. We investigate which details of the real-world are covered by generated scenarios, whether scenarios are specific for a system under test or generic, and whether scenarios are designed to minimize the set of unknown and hazardous scenarios. We conclude that scenarios generated with existing techniques do not comply with requirements implied by the SOTIF-standard; hence, we propose directions for future research.