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Scalable Measurement Data Acquisition for ADAS Development

  • Thomas Schöpfner,
  • Patrick Nickel

摘要

The article discusses the role of scalable measurement data acquisition in the development of Advanced Driver Assistance Systems (ADAS). The text highlights the transition from traditional human-driven vehicles to automated driving, facilitated by the integration of radar, lidar, video, and ultrasonic sensors. It emphasizes the need for powerful control units (ECUs) to process vast amounts of data and derive driving strategies. The development of software functions is shifted to labs, utilizing virtualization to replace experiments with real hardware, necessitating reliable tools for data acquisition and cloud or backend data access. ETAS offers a modular portfolio of scalable solutions for In-Vehicle Data Acquisition (DAQ) across all development phases, addressing the challenges of prototyping, development, and post-production validation.