Hi, I’m Ishaan! I’m a Ph.D. candidate in Computational Media at the Jack Baskin School of Engineering at University of California, Santa Cruz. My research interest is primarily in simulation testing of autonomous vehicles. I have completed two Summer internships at Ford Next (which is Ford’s autonomy and mobility division) in the simulation team. During my Ph.D. program, I have been a teaching assistant (TA) and instructor for the upper division Game Technologies course where I had the opportunity to teach Unity and Unreal game engines. In addition, I’ve also been TA for several other game design and development courses. These details are mentioned in my CV.
My dissertation work is in procedural generation of interesting scenarios for simulation testing of autonomous vehicles. A significant project in my research was Cruzway where my contribution was in the procedural road generation tool.
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Safety and Scenario Based Testing for Autonomous Vehicles
Fully functioning autonomous vehicles (AVs) will bring about a significant change in our society’s transportation systems. Fully functioning can be described as L4 level (and above) of driving automation, according to the SAE J3016 taxonomy The graphic below summarizes the automation levels. An app-based cab service with fully functioning AVs would not need to pay the driver thereby dropping prices significantly. Cruise, an AV company (owned by GM) currently operates in San Francisco as an app-based transport service. The company reports an example of a 1.3 mile trip costing $8.72 (compared to an Uber costing $10.41 that this article author reports). Typically in such apps, pricing depends significantly on factors which change with time such as the ratio of cab and rider availability, location, tax rates among other factors. Probably, the most promising implication of widespread adoption of L4+ AVs would be reduced traffic accidents.
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