High-performance compute

Combine and process sensor data in real time

Advanced driver assistance systems require the vehicle to make safety decisions in real time. From computer vision and signal and image processing to artificial intelligence (AI) and deep learning capabilities, our Arm®-based processors enable a broad range of efficient computing performance to improve automotive safety and enable the next step in vehicle autonomy. Design high-performance sensor fusion systems without sacrificing critical resources that streamline system design while helping meet ISO26262 standards up to ASIL D.

Reliable and secure data transmission across various protocols

As the number of cameras and sensors increase in the vision of building a fully autonomous vehicle, there is more data from around the vehicle than ever. Our advanced communication technologies safely and reliably transmit sensor data across any vehicle architecture, enabling time-critical safety decisions. Our vehicle networking portfolio includes Ethernet PHYs, FPD-Link devices, CAN, LIN, and PCIe supporting various data speeds and improving reliability for safety-critical driver assistance applications.

Power-efficient performance

Reducing power needs while meeting growing performance requirements is a concern for designers of advanced driver assistance systems. A discrete integrated power-management integrated circuit (PMIC) dedicated to a specific processor system-on-chip (SoC) helps reduce component count and system size while increasing efficiency and thermal performance. Our PMICs help you limit noise and maintain power density in sensor fusion designs while helping meet ISO26262 standards up to ASIL D.

Accelerate software development on TDA4x processors

Evaluate software performance on TDA4x processors on our evaluation modules (EVMs) and in our cloud environment. Easily compile and deploy your models and accelerate inference with industry-standard application programming interfaces such as TensorFlow Lite, Open Neural Network Exchange (ONNX) Runtime, Tensor Virtual Machine (TVM), GStreamer, Docker, Robot Operating System (ROS) and Open Graphics Library (GL) for Embedded Systems (ES) to accelerate deep learning inference.

Optimize sensor fusion performance with our clocks and timing devices

Clocking is vital in sensor fusion to deploy multiple high-performance performance SoCs. Our portfolio of low-jitter, easy-to-use clocks and timing devices, including bulk acoustic wave oscillators, allows you to build your clock tree with simple discrete devices or highly integrated solutions.