Scenario based testing is relevant within the evaluation and safety assurance process. Scenario based testing can be performed by means of available specific scenarios (e.g. for ALKS functions). A problem might be that the designed specification and ODD of the new ADF might be deviating. Different scenarios are then required, which are not publicly available and need to be developed specifically.
Therefore scenario requirements have to be created. Once all scenario requirements are known, it needs to be investigated, if scenario data is available within the database and if it is accessible. Scenario data in this context is referred to be any kind of information, data and knowledge/experience, which is necessary to create a scenario, e.g. according to (Scholtes et al., 2021), (Glasmacher et al., 2013), (Weber, H. et al., 2023).
Main Question
Is all data available to create scenarios?
Sub-Questions:
- Is the data available sufficient?
- Is the data accessible for the development purpose?
- Are all aspects of the function covered by the available data?
References
- Scholtes, M. et al. (2021) ‘6-layer model for a structured description and categorization of urban traffic and environment’, IEEE Access, 9, pp. 59131–59147. doi:https://doi.org/10.1109/access.2021.3072739
- Glasmacher, C. et al. (2023) ‘Acquire driving scenarios efficiently: A framework for prospective assessment of cost-optimal scenario acquisition’, arXiv [cs.SE]. 26th IEEE International Conference on Intelligent Transportation Systems ITSC 2023, Bilbao, Spain, 24. – 28.09.2023. Available at: http://arxiv.org/abs/2307.11647 (Accessed: 05 February 2024)
- Weber, H. et al. (2023) ‘Holistic driving scenario concept for urban traffic’, 2023 IEEE Intelligent Vehicles Symposium (IV). doi: https://doi.org/10.1109/iv55152.2023.10186385