Arm Advances Adoption of ADAS, Automation Technologies

Find the Latest SoC Solutions
for... Automotive... IoT... Security... Audio... Video

Arm has expanded its portfolio of IP specifically developed to meet the performance and safety needs of automotive applications.

www.eetasia.com, Feb. 21, 2022 – 

Advanced Driver Assist Systems (ADAS) have grown from a premium vehicle feature to a capability consumers now expect as standard in new vehicles. In parallel, the global chip shortage is making it clear to the automotive industry the criticality of silicon and electronics to the development and competitive positioning of its products. Drivers increasingly depend on ADAS applications such as collision avoidance, lane departure warnings and automated emergency braking, and vehicles increasingly rely on cameras positioned around the car to enable many of these features. Indeed, according to a recent report from Strategy Analytics the value of the automotive camera market is expected to grow by greater than 19% from 2020 to 2025, making it the most important sensor type in providing data needed for the vehicle to make decisions about its surroundings.

As the number and sophistication of vehicle cameras increases, so does the compute power needed to translate the high throughput of image data – efficiently and safely – into outputs that meet the varying requirements for machine and human vision. To enable new capabilities in ADAS and autonomous driving, the industry will need a new approach to image processing, and to address this, we have added the Mali-C78AE ISP to our portfolio of IP specifically developed to meet the performance and safety needs of automotive applications.

Safety first in both human and machine vision

ADAS features use multiple cameras to enable a variety of human and machine vision applications. For example, surround view systems use data from cameras around the vehicle to visually display to the driver information to help them make decisions while parking. Adaptive cruise control, on the other hand, directly uses camera data to interpret the environment and make decisions independent of the driver about vehicle control, such as applying the throttle or brake. Mali-C78AE is designed specifically to address both human and machine vision safety applications, and is able to process data from up to four real-time or 16 virtual cameras.

click here to read more...

 Back