Case Study
Monday, December 08
10:50 AM - 11:15 AM
Live in Dearborn, Michigan
Less Details
As advanced sensors like lidar and radar become integral to modern vehicles, understanding their mechanical and acoustic behavior is essential. This session introduces the concept of blocked force as a diagnostic tool for evaluating structure-borne noise from sensor hardware. It also addresses sound power as a key parameter in assessing airborne noise emissions. Attendees will gain insight into how these metrics influence sensor placement, integration, and compliance with automotive NVH standards. The presentation will also highlight relevant testing protocols and supplier requirements that support quieter, more stable in-cabin environments.
In this presentation, you will learn:
Sathyasheelan Santhanam is a Sensors Hardware Engineer specializing in the design, validation, and integration of LiDAR, camera, and IMU systems for autonomous vehicles. At Torc Robotics, he leads the end-to-end product development lifecycle for LiDARs and IMU defining technical requirements, managing supplier engagement (RFI/RFQ), executing validation, and ensuring production readiness.
He brings deep expertise in sensor performance optimization, system architecture alignment, and cross-functional collaboration, working closely with hardware, software, and vehicle integration teams to deliver high-precision, reliable perception systems that enable Level-4 autonomy.
Sathyasheelan holds an M.S. in Electrical and Computer Engineering from The Ohio State University, where his research focused on sensor fusion, computer vision, and real-time data processing.
Beyond engineering execution, he is passionate about standardizing sensor test methodologies and fostering industry collaboration between OEMs and suppliers to advance the safety and scalability of autonomous driving systems.
