Image Signal Processing Optimization for Object Detection (OB)


Date:  Wednesday, May 22

Start Time: 2:05 pm

End Time: 2:35 pm

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.

Track

Session Speakers

  • Young-Jun Yoo is the Executive Vice President at Nextchip, the oldest fabless vision semiconductor company in South Korea. He has 18 years of experience in image signal processing for embedded vision systems. Over the last 15 years, Young-Jun has led Nextchip’s automotive business to global success with automotive OEM, Tier 1 and Tier 2 customers. He has also been responsible for strategic planning, ecosystem partnerships, technical marketing and product management. Young-Jun is now focused on building Nextchip’s image signal processing business in ADAS and autonomous vehicle markets, where Nextchip offers both chips and silicon IP to enhance images for human viewing and for consumption of AI algorithms.


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Image Signal Processing Optimization for Object Detection (OB)