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Smart and efficient data recording for ADAS development

Estimated Watching Time: 4 minutes
Motor vehicle deaths have been significantly reduced since the 1970s as a result of advancements in safety technology. Safe urban mobility remains a major challenge. Intelligent transportation systems, such as smart cars, city buses, and even flying taxis, are examples of innovations that promote traffic safety.

To validate driving automation algorithms, engineers must translate the complex environment of urban traffic into real-world comprehensive data and feed it into their smart vehicle. The solution for collecting that data is Simcenter SCAPTOR (Sensor Capture), a complete solution for capturing raw ADAS (Advanced Driver Assistance Systems) sensor data.

Discover how Siemens SCAPTOR enables engineers all over the world to more efficiently collect real-world traffic data by combining radars, cameras, and lidar. This is an important step in the development of ADAS (Advanced Driver Assistance Systems), as well as the design of future autonomous mobility concepts.

An intelligent and effective ADAS testing workflow

Siemens SCAPTOR hardware and software tools are designed to capture and analyze raw and high-bandwidth data streams. It collects, processes, and synchronizes all data streams within your vehicle. Siemens SCAPTOR enables engineers all over the world to collect efficient real-world traffic data by combining radars, cameras, and lidar. This is a critical component for development and designing future autonomous mobility concepts.

This video explains in detail how Simcenter SCAPTOR serves as the gateway to a smart and efficient ADAS testing workflow.

A compact, open and scalable future-proof solution for flawless data quality

Simcenter SCAPTOR provides flawless data quality every time. The process starts with gathering real-world data. A few benefits include:

  • Designed to fit in any vehicle, from the cabin of a bus to the trunk of a private car

  • Allows for accurate data as time stamping occurs as close as possible to the sensor’s location, avoiding delays

  • Urban traffic situations and events are recorded for a full day of operation

  • Helps develop and validate future-proof driver assistance systems

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