Lidar simulation and validation for autonomous vehicles - ERP Spain.com - España y América Latina

 

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.

 

 

- Integrate lidar simulation into current design processes for lidar systems by enhancing the existing workflow for developing and testing signal processing algorithms

- Use lidar simulation to generate realistic point clouds in real-time that can be used to test and develop perception and sensor fusion algorithms

- Include high fidelity lidar simulation as part of the testing and validation process of ADAS / AD systems

- Drive digital transformation of important design processes for sensors and autonomous vehicles

 

 

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.

 

 

- Use thermal CFD analysis to test lidar headlamp integration

- Use physics-based lidar simulation to simulate multiple bounce effects at different infra-red spectrums

- Generate highly accurate energy returns based on important material property definitions

- Simulate weather conditions and their impact on lidar signal & point cloud generation

- Simulate complex scan patterns accurately and generate realistic motion effects

- Learn about validation activities done to ensure the accuracy of simulation results

 

 

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.

 

 

Jordan Gorrochotegui: Senior Technical Product Manager

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.