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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.

At a high level, ADAS consists of sensors, processors, and actuators. Processors can include one or more ECUs that process the signals coming from various sensors, such as cameras, lidar, radar, and ultrasonic sensors, and control the actuator to perform the appropriate functions. For example, when sensors detect a large object on the freeway, the ADAS will activate the emergency braking system to quickly slow down the vehicle. Likewise, when sensors detect another vehicle cutting into the same lane without warning, the ADAS either will slow down or quickly and safely change lanes to avoid a possible collision.

If the ADAS performs flawlessly, together with other technologies such as V2X and/or 5G, the vehicles will drive far more safely than humans do. However, what continues to be challenging is the possibility of undetected ADAS flaws and vulnerabilities to cyberattacks.

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