Majid K Vakilzadeh

Dr Majid Khorsand Vakilzadeh is currently a system architect for the verification and validation of automated driving systems at Zenseact. In this role he ensures the required verification tools and methodologies are developed to ensure the safety readiness of autonomous driving solutions. Before joining Zenseact, he obtained his PhD from Chalmers University of Technology in the field of risk estimation for rare events.

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Presentation

How to maneuver in the stakeholder landscape when verifying and validating highly automated driving systems

One of the greatest challenges on the road to full deployment is proving that Autonomous Driving technology positively impacts traffic safety. To support such a claim with statistical evidence, an enormous number of kilometers of driving is required, widely accepted to be unfeasible. Zenseact’s approach to safety evaluation is developed around three pillars. First, adopting a truly redundant design strategy in different parts of our AD solution. Second, to scale up the quantity of data from in field operations through dynamically probing data from a large customer fleet. Third, using state of the art simulation environment to stress test traffic scenarios required to excel in from a societal perspective. Zenseact aims to accelerate the transition toward zero collisions through faster development, verification and validation and deployment of safety-critical features. By collecting road data and analyzing safety related information, we direct the development efforts to maximize safety and comfort.