Navigating Edge Cases with Physics-Based Sensors Simulation for Autonomous Vehicles

You must be logged in to watch this session

First Name*

Last Name*

Job Title

Company Name

Country of Residence*

Work E-mail Address*

Password*

Confirm Password*

Your personal data will be used to support your experience throughout this website, to manage access to your account, and for other purposes described in our privacy policy.

Sense Media, on behalf of AutoSens, needs the contact information you provide to us to update you with information about AutoSens and our products. You may unsubscribe from these communications at anytime. For information on how to unsubscribe, as well as our privacy practices and commitment to protecting your privacy, check out our privacy policy.

Only fill in if you are not human

Navigating Edge Cases with Physics-Based Sensors Simulation for Autonomous Vehicles

Event: AutoSens Detroit

| Session date: Thursday 11th May

Session date: Thursday 11th May

, 2023

Hear from:

Lionel Bennes

Senior Product Manager,

Ansys part of Synopsys

Lionel Bennes

Senior Product Manager,

Ansys part of Synopsys

Training & evaluating perception systems requires a large variety of accurate & annotated data to ensure safety of Autonomous Vehicle in their Operational Design Domain. Acquiring enough real-life data for sensor perception edge cases or dangerous driving situations is challenging. Synthetic data can be used to fill this gap. But, to obtain trustable data, a physics-based simulation approach should be used for multispectral light and electromagnetic wave propagation in 3D synthetic scene as well as the modelling of the sensor. We will highlight on camera edge cases that are only relevant when being simulated with this approach.