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ADAS: Advanced Driver Assistance Systems

Sensing and processing to make driving safer.
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Description

ADAS is short for advanced driver assistance systems (or sometimes adaptive driver assistance systems). ADAS covers a broad array of sensors and processing used to perform tasks such as collision warnings, adaptive cruise control, lane departure alerts or lane centering, emergency braking, and other features aimed at increasing the safety and autonomy of vehicles.

A number of sensors make ADAS possible, including image and camera sensors for vision-based features, ultrasonic sensors for short-range features like parking assist, and radar and lidar sensors for object detection under dark or foggy conditions.

ADAS systems can be either passive (alerting a driver to conditions, such as lane departure) or active (taking action, such as emergency braking), and they often rely heavily on machine learning techniques.

To make use of all the sensor data, ADAS is highly dependent upon receiving signals accurately, quickly, and with low power. However, there are multiple strategies for how to process this data.

One, a distributed ECU model, uses edge-based endpoints or ECUs (engine control unit) where the data is being captured. Another, a retrofit model, adds an AI IP engine or bolt-on co-processor to a standard ECU that is already deployed in the market. Other companies are designing new ECUs from scratch.

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ADAS

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ADAS