Simulation of the Human Factor in Autonomous Driving

This presentation was made at the NAFEMS Americas Conference "Simulation in the Automotive Industry: Creating the Next Generation Vehicle" held on the 16-18 March 2021.

The automotive engineering community is now confronting the largest technology transformation since its inception. The demand to manufacture cleaner, safer, and smarter vehicles, along with providing an overall enhanced driving and ride experience, has never been higher. As a result, engineering teams must discover, evaluate, and successfully implement leading-edge technology and methods to produce reliable, effective results.

Hence, the challenges for automotive engineers are enormous and require a significant increase in the upfront use of numerical simulation capabilities, methods, and processes such that they’re able to efficiently design, manufacture and deliver these innovative technologies to market in greater speeds than ever before.

Resource Abstract

When testing and simulating ADAS systems of autonomous vehicles, in some cases there are no standardized testing methods available. In the recent study, we investigate the control methods of Pedestrian Targets, which are certainly important in the view of the testing framework. We present the concept of ZalaZONE Automotive Proving Ground for testing Advanced Driver Assistance Systems and autonomous vehicles, which is called Scenario-in-the-Loop (SciL). We developed a dynamic obstacle trigger for the SciL which means that the start condition for the pedestrian target is not a static parameter, but a dynamic one depending on the vehicle status. In the second half of the work, I present the used software, and the designed concept for the trigger as well as the validation of it.