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ADAS measurement solution

Modular measurement solution for automated driving and driver assistance

The image shows a screenshot of ETAS' ADAS measurement solution

The ADAS measurement solution from ETAS for assisted and automated driving control units (ADCUs) and sensors offer you high performance and scalable tools for data acquisition and processing. These tools can be efficiently integrated into existing development environments.

Your benefits

AI-based

Enables faster software development during pre-SOP thanks to AI-based data management.

Scalable

Fulfills numerous requirements and use cases.

Value-adding

Allows you to focus on business value (software development) instead of on the measurement system.

Modular and scalable high-performance data acquisition solution

Infographic visualizing the set-up and interaction of the different hardware and software components of the modular and scalable end-to-end solution for pre-SOP in-vehicle DAQ for ADAS/AD.
The ADAS measurement solution from ETAS enables early development and continuity along the development cycle with both software and hardware.

ETAS tools for ADAS measurement: improve your efficiency

ETAS offers a modular and scalable data acquisition platform for automated driving and driver assistance that ensures reliable, synchronized, and efficient measurement of large data sets. The solution minimizes the need for ECU computing resources, supports early and continuous development through integrated hardware and software tools, and provides high compatibility with third-party and in-house solutions via defined APIs.

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Webinar: “How to master the challenges in ADAS development”

In our recorded webinar “Challenges in ADAS development” you will learn how efficient data logging enables ADAS developers to measure, log, and process relevant data, especially in later development phases. Understand the different challenges for ADAS measurement technology in the development and validation phase. Learn why data integrity and data compression is no contradiction. Discover how efficient data logging can accelerate function development by using AI-supported processes.

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