Implementing simulation-driven engineering for autonomous vehicle sensors hardware design and optimization
Use a streamlined approach to accelerate sensors engineering and performance.
Design goals for autonomous vehicle sensors are largely centered on size and cost reduction without sacrificing high resolution and high range necessary to support various levels of vehicle autonomy. Additionally, these sensors, when integrated into vehicles, must function reliably in an automotive environment and in all-weather conditions. These design and vehicle integration issues affect not only sensor suppliers but also auto OEMs who are ultimately responsible for safety and reliability of autonomous driving in their vehicles.
Learn how to maximize the use of simulation and testing solutions to address essential design and vehicle integration challenges for autonomous vehicle sensors hardware.
Você aprenderá:
- How to leverage integrated electronics-thermal-mechanical and structural workflow to design and optimize sensor hardware electronics and enclosure design
- How to leverage simulations to tackle multi-scale design challenges for radars and ultrasonic sensors
- How to deploy successful simulation methods for sensor vehicle integration and weather impact assessment in order to deliver a robust 360-degree view
Director New Mobility, Siemens Digital Industries Software
In this role, Puneet is responsible for his division’s business strategy and product development for micro-mobility, transport electrification, and autonomous driving thrusts. Before joining Siemens, he worked at General Motors where he led global R&D teams to solve a wide range of issues with fuel cells and battery electric vehicles and at Saft, a Li-ion battery manufacturer. Puneet received his Ph.D. in Mechanical Engineering from Pennsylvania State University.