Autonomous Vehicle Engineering - April 2022 - 9

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

Autonomous Vehicle Engineering - April 2022

Table of Contents for the Digital Edition of Autonomous Vehicle Engineering - April 2022

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Autonomous Vehicle Engineering - April 2022 - CVR3
Autonomous Vehicle Engineering - April 2022 - CVR4
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