The XA Zynq UltraScale+ MPSoC platform -- deployed in the cameras within the Aisin APA system -- combines a high-performance Arm®-based multicore, multiprocessing system with ASIC-class programmable logic containing custom co-processors that can be optimized to meet system needs, including a deep learning processor unit for convolutional neural network (CNN) processing. This enables machine learning-based scene segmentation and object detection for the Aisin APA system. The XA Zynq MPSoC platform delivers maximum processing efficiency and is capable of offloading critical functions, such as graphics and video pipelining, to dedicated processing blocks to enable low-latency image processing.
The Aisin APA system uses four cameras and 12 ultrasonic sensors mounted on the vehicle to recognize the surrounding environment and calculate the driving route. The system then controls the vehicle according to the calculated route to park itself. In addition, the Aisin APA system also automatically performs automated emergency braking in the event of a potential collision.
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"As surround-view systems evolve from basic video stitching and graphic overlays that visually assist drivers, to cars now being able to use AI to park themselves -- we see a huge opportunity to support the needs of this market with our adaptable Zynq platform," said
AMD in Automotive
As the pace of innovation continues to accelerate in the automotive industry, the need for high-performance compute, accelerators and graphics technologies is increasing. AMD is at the forefront of this inflection point, with the industry's broadest line of high-performance CPUs, GPUs, FPGAs and adaptive SoCs. From powering in-vehicle infotainment systems to advanced driver-assistance systems, autonomous driving and networking applications where functional safety is of paramount importance, AMD provides carmakers with a one-stop shop for silicon and software solutions. Visit here for more information.
About AMD
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