Ensuring the accuracy and reliability of ADAS (advanced driver assistance systems) hinges on precise calibration and thorough validation. This presentation explores the latest advances and methodologies in ADAS sensor calibration and validation workflows. We will discuss how leveraging data-driven techniques and human-in-the-loop processes can optimize performance, reduce development timelines and enhance safety standards. The session will also showcase real-world case studies, demonstrating how efficient calibration and validation frameworks address challenges such as sensor drift and multisensor fusion.

• Best practices for calibrating and validating ADAS sensors to ensure optimal performance
• How to use scalable workflows that combine automation with human expertise for enhanced reliability
• Real-world insights into overcoming challenges like sensor drift, fusion complexities and environmental factors