Mohammad Musa

Mohammad founded Deepen AI in 2017 to solve critical bottlenecks preventing safe deployment and the faster and more economical adoption of autonomy and robotics products. Prior to that, he was the head of launch and readiness at Google Apps for Work, where he led a cross-functional team managing product launches, product roadmap, trusted tester and launch communications. Before Google, he worked as a software engineer at Havok (acquired by Intel), Emergent Game Technology (acquired by Gamebase) and Sonics (acquired by Facebook).

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Presentation

Utilizing LiDARs at scale for ADAS safety, compliance and efficiency

Real-time sensor calibration involves performing calibration tasks on the sensor itself, using local data and computing resources. It improves accuracy, reliability and safety. This is important in applications requiring rapid or real-time responses, like autonomous vehicles, industrial automation, robotics, and more. This presentation will focus on multi-sensor calibration with an emphasis on LiDAR, camera, radar and IMU sensors