Software/Simulation Complexity of Autonomous-Systems Simulation, Validation Soars to the Clouds by Terry Costlow Scalable, cloud-based architectures are gaining greater acceptance for simulating and testing the myriad development aspects of automated driving. As the auto industry strives to improve safety that run operations in parallel to shorten analysis times. Automakers and Tier 1s have acknowledged the value of simulation as an integral tool for getting the myriad software and hardware elements of automated driving to work in collaboration. High-level automated driving requires vehicle controls to "understand" many complex external elements, which have far more variables than conventional on-vehicle systems such as engine controls. Cameras, radar and lidar must monitor pedestrians, vehicles and highway markings. and edge towards high-level automated driving, the complexity of proving that electronic vehicle controls will perform safely is skyrocketing. Simulation's expanding role in systems validation is prompting many tool providers to move to scalable, cloud-based architectures Siemens One word: Parallelize Design tools from traditional suppliers like Siemens address design from start to finish. 8 July 2019 As a ballooning number of sensors provide input to electronic controls that make critical driving decisions, managing the immense volume of data involved in simulating and validating operations is increasingly time-consuming. Verifying the operation of sensors and control functions has become as important as designing the systems being validated. "People talk about better lidar or artificial intelligence, saying they will fix the problems of autonomous AUTONOMOUS VEHICLE ENGINEERING