Product Directory

Requirements Engineering

Persival's approach to requirements engineering for perception sensors is rooted in cutting-edge methodologies and tools. We utilize the Perception Sensor Collaborative Effect and Cause Tree (PerCollECT), an open-source framework designed to systematically analyze cause-effect relationships in sensor performance (https://github.com/PerCollECT). For safety and validation, we integrate SOTIF Trigger Conditions with Cause, Effect, and Phenomenon Relevance Analysis (CEPRA), providing a comprehensive understanding of sensor behavior in critical scenarios (https://tuprints.ulb.tu-darmstadt.de/18949/). Additionally, we apply robust metrics for model acceptance tests, ensuring that our sensor models meet rigorous standards for accuracy and reliability (https://tuprints.ulb.tu-darmstadt.de/23034/).

ASAM OpenCRG® , ASAM OpenDRIVE® , ASAM OpenLABEL® , ASAM OpenMATERIAL® , ASAM OpenODD® , ASAM OpenSCENARIO® , ASAM OpenSCENARIO® XML , ASAM OSI® , ASAM OpenTestSpecification