Exploring the Digital Domain: Simulation & Modeling Unleashed
Phil Morse from Ansible Motion sheds light on why humans will remain crucial in the development of autonomous and ADAS technologies.
Developing a new car can easily cost a billion dollars. With rising expenses, stricter emissions and safety regulations, and the rapid progress toward autonomous vehicles, automakers are eager to find ways to cut R&D costs. One strategy is to increase the use of simulation tools, which can significantly reduce the need for physical prototypes. These simulations can save money and time, especially when the first prototype alone can cost about $1 million.
Engineers are now leveraging advanced simulation technologies to gather more meaningful data. This approach means less track time spent on mundane validation tasks and more on enhancing the product and user experience, which is vital for brand acceptance. Interestingly, recent advancements suggest that some of the biggest benefits come from technologies that don’t directly involve humans.
Driver-in-the-loop (DIL) simulation has made significant strides in the past five years. Modern engineering-class simulators have far surpassed the old hexapod style simulators, which were originally based on outdated aircraft technology. These new simulators, equipped with cutting-edge graphics and motion cues, can almost perfectly mimic real driving experiences. This realism allows for accurate testing of various components, from control systems to chassis tuning, and even real engines in a controlled lab environment.
Humans—whether drivers or passengers—are still best suited to evaluate a vehicle’s performance. DIL simulators provide a controlled setting where test scenarios can be consistently replicated. This consistency is invaluable compared to real test tracks, where conditions can vary greatly due to weather or other factors. More development teams are turning to virtual test drives to achieve the repeatability and control they need.
As cars become more complex, virtual testing also helps mitigate risk. This is particularly important for ADAS and semi-autonomous systems, which often need to perform under extreme conditions. One Japanese automaker uses its simulator to prepare test drivers for the challenging Nordschleife track, logging extensive virtual miles. This preparation helps engineers and drivers make the most of their time on the actual track, potentially reducing the risk of accidents at this notoriously dangerous location.
Cost will always be a driving factor in adopting new technology. While physical testing is indispensable for the final stages of development, integrating human-centered simulations early in the process can lead to significant savings and improved performance. For example, a ten-day testing session for a prototype can be far more efficient and cost-effective with robust simulation tools in play.
