It is no secret that the pace of innovation in the automotive industry is growing exponentially. Digital transformation has reached automotive with the move towards software-defined vehicles and digital twins to accelerate the definition, design, and production of cars, modules, and required sensors. Automotive innovators need to push the boundaries of engineering to solve design, emulation, and test challenges quickly. When validating the functionality of a new vehicle in the real world, everything around it is a variable. Automakers control none of them, which poses a problem when testing the car’s functionality to a high degree of confidence. Testing in the lab using digital twins gives automotive OEMs control. With a digital twin approach to design and development, the impact of each variable in a testing scenario can be repeatably and reliably tracked and measured. But one digital twin isn’t enough. Automakers require digital twins for everything they test — electric powertrain, automotive sensors, V2X communication, in-car communication, and more. It’s the most efficient way to ensure the algorithm is developed to predictably and accurately detect and react to its complex and dynamic environment. Whether you’re looking to accelerate autonomous vehicle (AV), electric vehicle (EV), or automotive electronics testing, Keysight enables innovation with intelligent insights to reduce risk, speed time-to-market, and expedite what’s possible for the future of mobility.
Session: DATA SCIENCE | | 09:00 - 09:30