Exploring Metrics for Safety & Reliability Assessment in an Automotive Emergency Braking Perception System: A Case Study
Published:
Excerpt from the abstract: Assessing the safety and reliability of automotive software systems is challenging, along with knowing which metrics to use to verify intended functional and non-functional requirements. Additionally, the lack of context definitions and ambiguities in metrics, are further issues found in the automotive supply chain. This study presents findings on exploring and comparing common safety and reliability metrics in literature and their applications in an automotive perception system case, which is under implementation.
Recommended citation: Khadkikar, Aditya and Karar Eshaba, Labiba. (2024). "Exploring Metrics for Safety & Reliability Assessment in an Automotive Emergency Braking Perception System: A Case Study." Department of Computer Science and Engineering, University of Gothenburg.