Proof of concept for ScenariointheLoop (SciL) testing for autonomous vehicle technology The paper presents a novel simulation concept for autonomous and highly automated road vehicles, called ScenariointheLoop (SciL) testing. SciL can contribute to a more efficient development, testing and validation of driverless cars, which is a pressing question of our days. SciL based testing introduces a new approach capable to simulate and control realistic traffic scenarios around the autonomous vehicle under test realizing a Digital Twin technology for testing. For realistic traffic generation a high fidelity microscopic traffic simulator (SUMO) and for visualization the Unity 3D game engine are involved. The proposed testing methodology was proved with a real world autonomous car. As a test environment for SciL demonstration ZalaZONE Smart City Zone was used. Two different traffic scenarios (platooning and valet parking with pedestrian dummy) have been successfully tested and demonstrated.

Empirical Testing of Automotive CyberPhysical Systems with Credible SoftwareintheLoop Environments Automotive cyberphysical systems are constantly increasing in complexity, especially due to innovations like sophisticated advanced driver assistance features. The increase in system complexity, in turn, gives rise to complex distributed software which creates challenges for verification. Frontloading tests that are regularly performed in prototype vehicles or HardwareintheLoop (HiL) to simulation and SoftwareintheLoop (SiL) environments can be used to validate design decisions and to significantly reduce overall development costs. Novel Automated Driving features, and the Open Context problem, however, move the challenge from the statetotheart to a knowledge problem (knowwhat instead of knowhow). The ISOPAS 21448:2019 for Safety of the Intended Functionality (SOTIF) acknowledges this change but no guidance is provided to the industry to making verification processes ready for operating vehicles in an Open Context environment that may require functional changes during the useful life of a vehicle. Since verification with HiL or vehicles will be all but impractical, in this paper we provide insights into the design of credible SiL environments that address functional and nonfunctional verification and validation concerns of software related automotive system in a continuous lifecycle. With the help of a usecase we demonstrate the significance of the novel approach compared to traditional automotive industry methods.