Data Management, from Data Selection to KPI Extraction - dSPACE
Summary
ADAS and autonomous driving system development, testing, and validation projects require large amounts of data from perception sensors (cameras, lidars, radars, etc.). In terms of IT infrastructure, collecting and managing these petabytes of data is costly and time-consuming. • Learn how to store and share numerous multi-sensor data recordings. • Discover how to minimize costs and reduce time and effort when carrying out data replay validation campaigns. • Extract the KPIs you need for your ECU testing and validation campaigns in batch data-replay mode.
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Data Management
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Simulation Software
Validation Software
Embedded Software Tools
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dSPACE
$250M to $500M