Accelerate ADAS/AV development with high fidelity simulation
This webinar highlights how lidar simulation can help accelerate the development and testing of autonomous vehicles at all stages of the development lifecycle. As lidar systems become an integral part of the sensor suite for autonomous vehicles, simulation becomes an essential tool for sensor manufacturers, system integrators, and algorithm developers. Our experts will demonstrate how Siemens’ next generation simulation capabilities can ensure that early designs and prototypes can cover safety critical scenarios by using high fidelity physics-based simulation validated against real-life lidar systems.
Through simulation, the virtual world becomes a viable alternative for replacing tests typically performed in the real world. The lidar simulation technology shown by Siemens in this webinar provides new levels of innovation for sensor engineers and ADAS/AV system developers. Engineers can now use virtual models at each step of the development process for lidar systems to identify problems early and speed up time to market. Simulation supports both the design process and serves as a prototype platform for early product tests before using any physical components. This allows product developers to test more complex situations on a broader array of configurations than it would be possible via traditional physical testing methods.
As part of a new product launch, Siemens has collaborated with multiple lidar manufacturers to perform validation and verification activities. In this webinar, you will learn more details about these validation activities, and you will see examples of how the lidar simulation can be used to test real life lidar configurations from various sensor suppliers.
Over 4 years working to develop the best possible world and sensor simulation solutions needed for the development and testing of autonomous vehicles. Jordan has a software engineering and simulation background that spans over 12 years in multiple products and domains. He has a passion for solving difficult challenges that involve bringing people and technology together and his current goal is to speed up the adoption of autonomous vehicles through the increase use of virtual simulation solutions.