This talk delves into the challenges and optimization strategies in image signal processing (ISP) for enhancing object detection in advanced driver-assistance systems (ADAS). Through real-world examples, we explore the critical role of image tuning in addressing corner cases and improving detection accuracy. The session covers ADAS sensing methodologies and verification processes, emphasizing the importance of image quality in sensor data. We provide practical insights into image tuning techniques, including day-night transition handling and environment-based adjustments. Attendees will gain valuable knowledge on optimizing ISP to ensure robust object detection, enhancing safety and performance in automotive applications.