As autonomous vehicles generate even more data, it is important to bridge the gap between vehicle development and data center technology. The development of safe and reliable autonomous vehicles requires authentic, high-speed, high-fidelity, raw data from multiple sensors. The high-quality nature of this data is essential to train reliable and robust vision and detection algorithms, and to validate and verify the autonomous and advanced driver assistance systems. Simcenter SCAPTOR, developed using proven industry-leading technology from ADAS developer b-plus, helps companies merge test and simulation through the phases of data capture, analysis, exploration, verification and validation and back to data collection. The new capabilities can be used to create a powerful toolchain to record, visualize and replay high-fidelity raw data. It can greatly speed the development process and close the loop of the autonomous development process through real-world ADAS data collection. The solution is flexible, modular, adapts to the requirements of advanced sensor technologies, and is robust for long-term in-vehicle usage.
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