Artificial Intelligence/Machine Learning Navigating Deep Learning to Improve ADAS by Dustin Seetoo How edge computing drives real-time decision making in AI for smarter, safer automated vehicles. Automotive 'big data' is here. The immense scope of data generated by automated or ADAS-integrated vehicles spans the five SAE levels of autonomous driving, with reliance on high-resolution cameras, radar, lidar, ultrasonic sensors, GPS and other sensors for vehicles to see or perceive their surroundings. Ultimately, this sensory information - massive amounts of data - is used to navigate, avoid obstacles and read road markers necessary for safe driving. Artificial intelligence (AI) is at the heart of these operations, SAE J3016 is the global standard establishing the five levels of autonomous driving. AUTONOMOUS VEHICLE ENGINEERING April 2022 9 SAE International via Premio