Skip to main content
ADAS data acquisition & management

Unlock the power of data for automated driving

ADAS data acquisition and management minimize your test drive time and costs and enable safe, optimized system performance in dynamic driving environments

Software test engineer in a vehicle using ETAS software for data acquisition and measurement

ADAS data acquisition & management are critical for the development of automated driving functions. By capturing and integrating multiple time-synchronized sensor inputs and internal ECU data, they ensure validation in recompute systems, data-driven development, and efficient reuse for future functionality and analysis. ADAS/AD data recorded in the vehicle or across the fleet reduce test drive time and costs, and ensure that ADAS/AD systems operate safely and efficiently in real-world scenarios.

Contact us

Tackling the challenges of ADAS data acquisition and management

Complex integration of data input (for example from sensors, ECU, bus)

Capturing numerous raw sensor signals and internal data from various microprocessor (µP) and microcontroller (µC) systems simultaneously is a major challenge. This requires sophisticated integration to ensure comprehensive and accurate data acquisition across diverse components.

High-rate data processing, and time-synchronization

Managing the processing of heterogeneous data streams with very high data rates while ensuring time-synchronization is critical. Accurate and real-time data analysis depends on maintaining consistency across multiple synchronized streams.

Energy efficiency and data reuse

Balancing power consumption of the measurement system while enabling data reuse for validation in test environments such as HoL and HiL is a challenge. Effective power management is necessary to prevent vehicle battery discharge, while data reusability is crucial for efficient test and validation.

Turning data into the information you need

Futuristic teal concept car speeding through light trails

At ETAS, we provide you with the software tools to collect, analyze, and visualize in-vehicle data for efficient data-driven development and safe operation of ADAS/AD functions. We enable you to systematically extract the information you really need from the mass of data, so that you can validate ADAS/AD functions more efficiently, quickly and cost-effectively, while maintaining the highest level of safety and reducing storage cost.

Contact us

1013 bytes per hour

A single autonomous vehicle can generate up to 10 terabyte (= 1013 bytes) of data per hour.

The image shows a car surrounded by diagrams representing the AD (autonomous driving) cycle for developing ADAS/AD functions. The cycle has eight stages: develop, replay & simulate, store, record, measure, drive, build, and deploy, highlighting the continuous process of improving AD systems.

The AD cycle: iterative development practices

The AD cycle is a structured and iterative approach to the development of ADAS/AD technologies that ensures thorough validation and continuous improvement. It encompasses five key phases.

  • Design & develop phase: architectural design and algorithm implementation
  • Deployment phase: converting design into code and bindings
  • Build phase: creating applications and middleware components
  • Drive/measure/record phase: testing and data collection
  • Replay & simulate phase: validation and analysis
Learn more about ADAS/AD function development

All news

Next events

Explore our related topics and use cases

Contact us

Do you have any questions? Feel free to send us a message. We will be more than happy to help.

Contact us today!


Contact form
Support hotline