Industry Expert Talk: Automotive Imaging: The Need for Image Quality KPIs in Development and Sensor Degradation Detection (video)
Cameras have become safety-critical sensors in automated driving, ADAS, and in-cabin monitoring. Yet the industry still often treats them as static components: qualified at start of production, integrated into perception stacks, and then trusted throughout the vehicle lifetime. This talk will raise awareness of what can go wrong when automotive imaging performance is not rigorously specified, reviewed, or monitored.
The presentation will raise awareness of how image quality and camera fitness relate to concrete safety scenarios in exterior perception and in-cabin sensing. In automated driving and ADAS, degraded or miscalibrated cameras can contribute to missed pedestrians, delayed AEB reactions, phantom braking, incorrect time-to-collision estimates, and poor object localization.
A key challenge is the need for robust, application-relevant KPIs to measure camera image quality and link to perception performance. The talk will discuss the role of IEEE P2020 in defining automotive image-quality KPIs. Once in the field, sensor system degradation detection is still unaddressed and is another motivator for KPI driven design.
