How Vision and Image Processing Algorithms Propel Automotive ADAS Development

When it comes to Advanced Driver Assistance Systems in vehicles, vision and image-based ADAS is highly popular since it uses computer vision algorithms such as object recognition, road sign detection, pedestrian detection, lane tracking, parking assistance, vehicle control, collision warning, etc., to assist in safe and smart driving.

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Vasantha Angappan

Vasantha Kumar works as a Technical Lead at eInfoChips, focusing on Automotive-DSP based products and services. He has more than 14 years of experience in product development and services in the Digital Signal Processing domain. He holds a Bachelor’s degree (ECE) from the College of Engineering, Chennai. His other interests include studying Python-based automation, mobile app development, and writing.

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