Dr. Manaswini Rath, VP and Global Head, Autonomous Driving, KPIT presented at the webinar with Automotive World. Here is a quick perspective and excerpts from the webinar.
Dr Manaswini Rath, Vice President and Global Head, Autonomous Driving, KPIT
One of the key challenges faced in ADAS and AD development is Verification and Validation. Given the safety- critical nature of ADAS/AD, it’s important to ensure high levels of accuracy for this. This is where Virtual Simulation for Validation comes into play.
Data is key because it simulates the scenarios for tests. With KPITs unique KPI selector, the process of validating features and sensors moves up a notch and enhances their integrated approach to verification and validation for ADAS and AD, which includes:
Leveraging its domain expertise and using high levels of automation, KPIT offers Testing As A Service (TaaS)and incorporates test cases, function-level tests, end-to-end virtual simulations and safety verification and validation for sensor and data cases. It also implements automation and packages — a ready-scenario library for passenger cars and commercial vehicles, automated validation against a ready database of KPIs amongst others — in the data-driven validation area. Despite varied challenges, KPITs automation framework and scenario library accelerates validation coverage. Here’s how.
Given how early-testing of AD is unsafe on roads, distances are calculated through simulations. Taking a Confidence Value of 95% and analysing data on possible fatalities contributes to the creation and modelling of different scenarios upon considering the:
Closed-loop simulations help validate ADAS and AD features.
Typically SoTIF scenarios are categoriseds as Known and Unknown, Safe and Potentially Hazardous comprising:
Identifying hazardous faults and failures and ensures the development of a strategy that depends on
Another emergent methodology, the Open-loop simulation or Reprocessing, enables validation of the Camera, Radar and LIDAR. This comprises the:
Both Closed-loop and Open-loop simulations for features and sensors are undertaken via a test management suite run on on-premise servers or in the Cloud. KPIT’s comprehensive solution here entails 3 steps:
The Open-loop sensor fusion validation tool is equally key since it validates data converging from different sensors for clearer views of the surroundings. This Open-loop method also uses scenarios different from those validating sensors against signal-level performances for ADAS and AD. Safety validations then, occur at the System, Vehicle and their Integration levels. In this context, the KPIT simulation validation suite spans:
Enabling tech and ecosystems are critical to verification and validation of ADAS and AD features and sensors pre-launch. Testing these features for millions of scenarios is tough. Testing them physically i.e., on the vehicle and the road is expensive and time-consuming. It’s imperative then, that development continue in controlled environments using virtual techniques. Simulation-based virtual validation is effective, efficient and one of the most reliable methodologies available. It must be optimally leveraged.
Autonomous Driving & ADAS
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