Automated Driving (AD)

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Highly automated and fully autonomous driving is the future of mobility. All stakeholders – from OEMs and tier-1 suppliers, to robotaxi developers and users – expect the highest level of safety and reliability in autonomous vehicles, whether on test fleets or production vehicles. The Xilinx Automotive (XA) platform plays a critical role in powering highly advanced AD modules that have an increasingly greater demand for higher performance and capacity to enable high-speed data aggregation, pre-processing, and distribution (DAPD) and compute acceleration.

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Adoption of Automated and Autonomous Vehicles

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50 minutes

Could be saved each day for drivers and commuters through autonomous vehicle transportation
(McKinsey & Company)

2M

People with disabilities could obtain new employment opportunities due to automated vehicle transportation
(Ruderman Family Foundation)

$557B

Global autonomous vehicle market by 2026
(Allied Market Research)

L2-L3 Automated Vehicles

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The Society of Automotive Engineers have defined the levels of driving automation as such:

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To address the functionality needed at each of the levels of driving automation, OEMs and tier-1 suppliers need a scalable and reliable architecture to design their AD systems upon. A critical component of AD systems is a domain controller that integrates and processes the massive amount of sensor data required for ADAS and AD features. Examples of critical features for low-level ADAS and high-level AD include:

- Blind Spot Detection (BSD)
- Lane Departure Warning (LDW)
- Adaptive Cruise Control (ACC)
- Automatic Emergency Braking (AEB)
- Lane Keep Assist (LKA)
- Automated Park Assist (APA)
- Traffic Jam Assist (TJA)
- Automated Lane Change (ALC)

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The capabilities of the adaptable and scalable XA Zynq® UltraScale+™ MPSoC platform span the entire continuum of the ADAS/AD sensor and domain controller markets to address the future integration of critical features.The XA Zynq UltraScale+ MPSoC platform optimally handles a growing number of complex safety-critical applications and addresses OEM and tier-1 suppliers’ needs for computation latency, performance, power efficiency, and adaptability across sensors and domain controllers.

L4-L5 Autonomous Robotaxis and Robotrucks

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Fully autonomous vehicles including robotaxis and robotrucks require extremely reliable, high performance, power-efficient, adaptive computing. The adaptability of the XA Zynq UltraScale+ MPSoC platform provides an unparalleled, flexible compute architecture with the optimal balance of hardware accelerators tightly coupled with application software for low latency sensor data processing.

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Data Aggregation
- Programmable I/O to Scale
- Sensor Interfacing
- Native Support for Various Standards
- Data Collection from Disparate Sensors

Pre-Processing
- Data Conditioning
- Sensor Data Synchronization
- Sensor Fusion
- Warping
- Object Classification

Distribution
- Programmable I/O with High-Speed Data Transfer
- Support for a Variety of Inter-Device Connectivity

The Data Aggregation, Pre-processing, and Distribution (DAPD) capability of the XA Zynq UltraScale+ MPSoC platform prepares the incoming sensor data to be processed by compute acceleration modules within a domain controller – which is a critical capability for power-efficient computing in an autonomous vehicle architecture.

As the number and capabilities of sensors in autonomous vehicle architectures grows, the XA Zynq UltraScale+ MPSoC portfolio scales to meet the varying OEM and robotaxi developer requirements for domain controller DAPD and compute acceleration. For more on our advantages in compute acceleration, read our White Paper >


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Xilinx Announces the World's Highest Performance Adaptive Devices for Advanced AD Applications

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The world’s highest performance adaptive devices for AD applications enable high-speed data aggregation, pre-processing, and distribution (DAPD) and compute acceleration.

Press Release >

Automated Driving Success Stories

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Pony.ai Sensor Fusion using multiple Xilinx devices
Blog >

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ZF ProAI Gen 3 using Xilinx Zynq UltraScale+ MPSoC
Press Release >

Get Started

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