To ensure operational safety of self-driving technology, it is imperative that the technology must never fail in detecting all relevant obstacles in the driving scene. It must also never fail in correctly determining where the vehicle could drive. These are two central safety assurance requirements of the perception function of self-driving technology. The perception function bounded by these two core requirements is the very first guarantor of operational safety of a self-driving vehicle. Without robust perception that meets these two requirements all the time, in all scenarios of an Operational Design Domain (ODD), it is not possible to Verify & Validate (V&V) the self-driving system comprising downstream or parallel functions such as; localization, behavior-prediction, planning and control.
AI in Self-driving - “It the Cake”
AI in Self-driving - “It the Cake”
AI in Self-driving - “It the Cake”
To ensure operational safety of self-driving technology, it is imperative that the technology must never fail in detecting all relevant obstacles in the driving scene. It must also never fail in correctly determining where the vehicle could drive. These are two central safety assurance requirements of the perception function of self-driving technology. The perception function bounded by these two core requirements is the very first guarantor of operational safety of a self-driving vehicle. Without robust perception that meets these two requirements all the time, in all scenarios of an Operational Design Domain (ODD), it is not possible to Verify & Validate (V&V) the self-driving system comprising downstream or parallel functions such as; localization, behavior-prediction, planning and control.