Automated Driving Data Collection

Accelerate development of multi-sensor ADAS applications

The automated driving data collection solution accelerates the development of multi-sensor autonomous driving and advanced driver assistance systems (ADAS). It records, stores, analyzes and replays vast amounts of raw data. It assists with sensor benchmarking and prototyping. It enables the generation of real-world test scenarios and provides the data to train vision and detection algorithms. It helps validate pre-production series for thousands of hours and millions of kilometers.  The high-speed in-vehicle ADAS data recorder captures a continuous, genuine and uncompressed flow of data. The time-synchronous raw data replay helps develop the computer vision and machine learning models that power autonomous vehicles.

Automated Driving Data Collection

The automated driving data collection solution accelerates the development of multi-sensor autonomous driving and advanced driver assistance systems (ADAS). It records, stores, analyzes and replays vast amounts of raw data. It assists with sensor benchmarking and prototyping. It enables the generation of real-world test scenarios and provides the data to train vision and detection algorithms. It helps validate pre-production series for thousands of hours and millions of kilometers.  The high-speed in-vehicle ADAS data recorder captures a continuous, genuine and uncompressed flow of data. The time-synchronous raw data replay helps develop the computer vision and machine learning models that power autonomous vehicles.

Simcenter SCAPTOR

Simcenter SCAPTOR

Reliably record and replay raw multi-sensor and ECU data with in-vehicle ADAS data collection.

Další informace

Záznam webináře | 54 minut

Four key steps to set up a smart and efficient ADAS testing workflow

smart ADAS testing

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