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            How MIPI Interfaces Solve Challenges in ADAS/AD Sensor Validation

            Picture of MIPI Alliance MIPI Alliance : 22 September, 2020

            Automotive MIPI CSI-2
            Gregor Sievers, Ph.D., dSPACE GmbH
            Gregor Siever, MIPI DevCon speaker

            Gregor Sievers
             
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            One of the greatest challenges in making autonomous driving (AD) a reality is validation and testing. Test drives are expensive, giving rise to data-driven development and testing, which involves logging dozens of environment sensors (camera, radar, lidar), data replay in the lab and cloud, and hardware-in-the-loop (HIL) testing.

            This presentation addresses how the MIPI CSI-2℠, D-PHY℠, CCS, and A-PHY℠ specifications simplify validation and testing and help bring AD to the streets.

            Presenter:

            Gregor Sievers, Ph.D., is a manager in the engineering services department at dSPACE GmbH, Paderborn, Germany. His work focuses on the validation of systems for autonomous driving. In 2016, he received his Ph.D. in electrical engineering from Bielefeld University, Germany, for his work on design-space exploration of tightly coupled multiprocessors.