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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.
Record a continuous, genuine and uncompressed flow of data from radar, lidar and high-resolution cameras, automotive-standard buses and networks. The ADAS data collection solution is optimized to reliably record every bit, to stream data at high bandwidth, at the lowest latency, and to handle terabytes of data efficiently.
Provide hardware (HIL) and software-in-the-loop (SIL) testing systems with time-synchronous replay of real-world raw data. This helps generate a realistic environment to develop the computer vision and machine learning models required to reliably and safely power autonomous vehicles.
Enable time-synchronous display of raw data from multiple sensor type (camera, radar, 3D sensors), corresponding vehicle buses or networks to validate multi-sensor ADAS and autonomous drive systems.
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