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.
Could be saved each day for drivers and commuters through autonomous vehicle transportation
(McKinsey & Company)
People with disabilities could obtain new employment opportunities due to automated vehicle transportation
(Ruderman Family Foundation)
Global autonomous vehicle market by 2026
(Allied Market Research)
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)
The capabilities of adaptive SoCs such as Zynq® UltraScale+™ MPSoC and Versal® AI Edge span the entire continuum of the ADAS/AD domain controller markets to address the future integration of critical features. Adaptive XA SoC platforms optimally handle a growing number of complex safety-critical applications and addresses OEM and tier-1 suppliers' needs for computation latency, performance, power efficiency, and functional safety across sensors and domain controllers.
Fully autonomous vehicles including robotaxis and robotrucks require extremely reliable, high performance, power-efficient, adaptive computing. Adaptive XA SoCs provide the optimal balance of hardware accelerators tightly coupled with application software for integrated sensor data aggregation, compute acceleration, and scalar processing.
- Programmable I/O to Scale
- Sensor Interfacing
- Native Support for Various Standards
- Data Collection from Disparate Sensors
- Data Conditioning
- Sensor Data Synchronization
- Sensor Fusion
- Object Classification
- Programmable I/O with High-Speed Data Transfer
- Support for a Variety of Inter-Device Connectivity
The data aggregation, pre-processing, and distribution (DAPD) role within a domain controller requires a heterogeneous set of processing engines to process the incoming sensor data – that role can be fulfilled by the adaptive XA Zynq UltraScale+ MPSoC and Versal® AI Edge platforms. In DAPD, the adaptive XA SoC prepares the incoming sensor data to be processed and then distributed to other elements within the domain controller.
In a compute acceleration role of the domain controller, a key focus for OEMs and robotaxi developers is power-efficient, high-utilization ML inference. Whether it's traditional CV acceleration, CNN processing, or ML acceleration – each of these require an efficient use of TOPs for sensor data processing. The adaptive XA SoC platforms – especially Versal AI Edge – provide the highest AI performance/watt, delivering optimal compute performance. For more on our advantages in compute acceleration, read our White Paper >
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