Scaling virtual validation for ADAS features

Overview

Scenario generation, simulation, testing, and report generation are critical requirements for Automated driving feature validation. Virtual validation is quickly becoming norm for Automated Driving feature validation given stringent requirements of validation across multiple miles and associated cost, safety and security with physical real world.

Furthermore, validation strategy should be holistic covering specification-based requirements as well real-world driving condition covering as many possible edge cases. In this session we will talk about, how MathWorks can help scale validation process by incorporating Euro NCAP specific scenarios with scenarios created from recorded world data and scaling these simulations to different compute infrastructure for rigorous testing of ADAS functionalities. 

Highlights:

• Automatically generate specifications and scenarios for Euro NCAP tests
• Creating scenarios from sensor (LiDAR, camera, GPS, … ) recorded vehicle data
• Create variants from Euro NCAP seed scenario, by parametrizing, actors
• Test automation framework- Sensors, scenarios, controller, and vehicle dynamics
• Scaling up test automation to different compute infrastructure and working with ASAM Open Standards 

About the Presenter

Dr. Rishu Gupta | Principal Application Engineer | MathWorks

Rishu Gupta is a principal application engineer at MathWorks India. He primarily focuses on automated driving and artificial intelligence applications. Rishu has over nine years of experience working on applications related to visual contents. He previously worked as a scientist at LG Soft India in the Research and Development unit. Rishu holds a bachelor’s degree in electronics and communication engineering from BIET Jhansi; a master’s in visual contents from Dongseo University, South Korea, working on the application of computer vision; and a Ph.D. in electrical engineering from University Technology Petronas, Malaysia.

Naga Pemmaraju | Principal Product Manager | MathWorks

Naga Pemmaraju is a Principal Product Manager for Automated Driving and RoadRunner Scene Builder Products at MathWorks, Hyderabad. He also focuses on ASAM standards like OpenSCENARIO and OpenDrive for Autonomous Systems. Before this role, Naga worked in Application Engineering supporting customers in Model-Based Design. Naga holds a bachelor’s degree in Electronics and Control Engineering from JNTU, Hyderabad and Master’s degree in Electrical Engineering from Texas A&M University, Kingsville-USA.