Image Quality Under Challenge: Leveraging Realistic Portrait Lab Scenes to Optimize Driver Monitoring and In-Cabin Entertainment

DXOMARK’s advanced laboratory approach utilizes hyper-realistic portrait mannequins and controlled scenes to objectively evaluate camera performance within the cabin environment.

This methodology mimics real-world challenges, enabling precise measurement of key image quality factors like dynamic range, noise, color fidelity, and also advanced evaluations like face detail preservation.

This session will cover:

•      The importance of realistic portrait scenes in simulating in-cabin lighting conditions,
•      Explore how image quality parameters influence both driver monitoring accuracy and entertainment image rendering,
•      Approaches to optimize camera hardware and software tuning based on lab insights,
•      Case studies illustrate performance gains under challenging conditions.

Target audience includes ADAS engineers, cabin system architects, and OEM teams seeking data-driven solutions for enhancing both safety and user experience inside the vehicle.