Training Center Classroom
Welcome to this installment of EE Classroom on ADAS!
Whether or not you want a self-driving car, there’s no arguing that most drivers need “assistance”, which makes ADAS a formidable technology. But it is also a tricky one involving a unique blend of sensors, microcontrollers, cameras — and a fair amount of regulation, not surprisingly given drivers are being asked to have faith in almost one-and-a-half tons of steel in which are buried hundreds of automotive MCUs.
It’s a new learning curve for many, and this classroom is here to help. Neural network software (and the memory to accommodate it), ADAS sensors, LiDAR, are just some of the technologies that allow a car to “see”. How and why? Start with tutorials here. And while there may never be a final word on safety and security, we’ve got enough words in our basics and beyond to understand the discussions further.
Note: There is no grading here — and no grading on the curve…
Editor in Chief, EE World Online
What is LiDAR and Time of Flight?
Automous vehicle sees with LiDAR eyes
The tricky business of teaching cars to see
The role of ADAS sensors in automotive design
ADAS is designed to prevent deaths and injuries and also seen as a stepping stone toward fully automated vehicles.
There are a lot of vision technologies and sensors available, but fine-tuning them has proved to be challenging.
Neural network software functions only vaguely in the way it has been explained to the general public.
LiDAR systems and ToF techniques are critical to providing self-driving cars with a detailed picture of the surroundings.
What does automotive qualification mean?
Navigating in-vehicle network communications securely
Technical challenges of automated vehicles
What are ASILs and how do they work?
Features and technologies needed for automated driving are being developed incrementally, with some already in use.
ASIL risk classification system including how ASILs work, challenges when using ASILs and how ASILs are evolving.
Automotive qualification is not a static landscape in a world of the emergence of new technologies.
Connections via Bluetooth, USB, LTE, 5G, Wi-Fi, and more have dramatically increased a vehicle's attack surface.
Memory and functional safety in autonomous vehicles
Flash memory keeps cars connected
Open standards for driverless cars
How to improve ADAS with hardware
Learn why unsafe autonomous vehicle systems are passing undetected during development.
The demand for NAND is growing with the rise of ADAS technology and autonomous piloting functions.
Designers need a deeper understanding of DRAM and its impact as software expands in vehicles.
Deep learning for autonomous vehicle systems requires a blended software and hardware strategy.
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