Quick Takeaways
- Two companies combine AI compute and perception to scale ADAS from regulatory safety to Level 3 automation.
- Open, modular architecture positions OEMs for software-defined vehicle evolution without hardware lock-in.
ZF Qualcomm ADAS platform was announced as a new advanced driver assistance system solution that combines high-performance artificial intelligence computing with next-generation perception technology to support automated driving applications. The collaboration focuses on delivering scalable, flexible ADAS capabilities that can be deployed across multiple vehicle segments and automation levels.
ZF Qualcomm ADAS Platform Built for Scalable Vehicle Automation
The ZF Qualcomm ADAS platform integrates Qualcomm Technologies’ Snapdragon Ride system-on-chips with ZF’s ProAI supercomputer to create a unified computing architecture for automated driving. The platform is designed to support automation levels ranging from essential regulatory safety functions to Level 3 automated driving, giving automakers flexibility across different vehicle models and markets.
ZF’s ProAI supercomputer can operate as a domain controller, zonal controller, or centralized vehicle computer. It supports advanced computer vision, sensor fusion, and decision-making workloads while enabling a modular system design adaptable to future vehicle architectures.
High-Performance AI Computing for ADAS Applications
In its highest configuration, the ZF ProAI supercomputer delivers computing performance exceeding 1,500 tera operations per second. The platform supports multiple performance boards, allowing automakers to deploy multi-domain applications within a single computing unit.
Key capabilities include:
This approach allows OEMs to balance performance, cost, and system complexity while preparing for future software-defined vehicle architectures.
Modular ADAS Features and Automated Driving Functions
The platform incorporates ZF’s portfolio of approximately 25 ADAS functions, covering safety, comfort, and parking applications. Automakers can select features modularly, enabling customized ADAS configurations for individual vehicle programs.
Available capabilities include:
This modular structure enables faster deployment cycles while supporting differentiation across vehicle lineups.
AI Perception and Driver Monitoring Capabilities
Qualcomm’s Snapdragon Ride Pilot system contributes camera-based AI perception that supports:
The technology scales from single forward-facing camera setups to complex multi-camera configurations. It is already deployed globally for regulatory safety functions, providing a mature foundation for expanded automated driving capabilities.
Open Architecture and Software-Defined Vehicle Readiness
The ZF Qualcomm ADAS platform is built on an open architecture that allows integration of third-party software and supports over-the-air updates. Development tools include simulation environments and application programming interfaces designed to accelerate ADAS prototyping, validation, and deployment.
Beyond driver assistance, the companies plan to extend their collaboration toward a multi-domain solution that integrates ADAS with in-vehicle infotainment systems, supporting the industry’s shift toward centralized, software-defined vehicle platforms.
ZF Qualcomm ADAS Platform Built for Scalable Vehicle Automation
The ZF Qualcomm ADAS platform integrates Qualcomm Technologies’ Snapdragon Ride system-on-chips with ZF’s ProAI supercomputer to create a unified computing architecture for automated driving. The platform is designed to support automation levels ranging from essential regulatory safety functions to Level 3 automated driving, giving automakers flexibility across different vehicle models and markets.
ZF’s ProAI supercomputer can operate as a domain controller, zonal controller, or centralized vehicle computer. It supports advanced computer vision, sensor fusion, and decision-making workloads while enabling a modular system design adaptable to future vehicle architectures.
High-Performance AI Computing for ADAS Applications
In its highest configuration, the ZF ProAI supercomputer delivers computing performance exceeding 1,500 tera operations per second. The platform supports multiple performance boards, allowing automakers to deploy multi-domain applications within a single computing unit.
Key capabilities include:
- AI-based perception and sensor fusion
- Real-time decision-making for automated driving
- Multi-domain computing support
- Scalable hardware configurations for different vehicle classes
This approach allows OEMs to balance performance, cost, and system complexity while preparing for future software-defined vehicle architectures.
Modular ADAS Features and Automated Driving Functions
The platform incorporates ZF’s portfolio of approximately 25 ADAS functions, covering safety, comfort, and parking applications. Automakers can select features modularly, enabling customized ADAS configurations for individual vehicle programs.
Available capabilities include:
- Advanced safety and comfort assistance
- Automated parking features
- Hands-off navigate on autopilot for supported use cases
This modular structure enables faster deployment cycles while supporting differentiation across vehicle lineups.
AI Perception and Driver Monitoring Capabilities
Qualcomm’s Snapdragon Ride Pilot system contributes camera-based AI perception that supports:
- Object detection and classification
- Lane and traffic sign recognition
- Parking assistance features
- Driver monitoring and awareness systems
The technology scales from single forward-facing camera setups to complex multi-camera configurations. It is already deployed globally for regulatory safety functions, providing a mature foundation for expanded automated driving capabilities.
Open Architecture and Software-Defined Vehicle Readiness
The ZF Qualcomm ADAS platform is built on an open architecture that allows integration of third-party software and supports over-the-air updates. Development tools include simulation environments and application programming interfaces designed to accelerate ADAS prototyping, validation, and deployment.
Beyond driver assistance, the companies plan to extend their collaboration toward a multi-domain solution that integrates ADAS with in-vehicle infotainment systems, supporting the industry’s shift toward centralized, software-defined vehicle platforms.
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