Play and manage music. Get directions to sushi. Send and receive texts. Call your mom. Stream a movie to the kids in the back seat. Globally, the automotive display market is on track to reach $11.6 billion in 2017 alone. As consumers demand more, exciting options from in-vehicle technology, teams need to test increasingly complex software—not to mention the next wave of systems for design and manufacturing.
And while autonomous vehicles (aka self-driving cars) are just starting their evolution, it won’t be long before drivers are completely out of the loop. That is, if testing can keep up. Right now, traditional, manual testing methods can’t handle the sheer connectivity inherent in today’s vehicles, or effectively test, monitor, and analyze the critical control software associated with tomorrow’s self-driving cars.
To truly test the entire autonomous vehicle experience, forward-thinking companies are exploring ways to apply artificial intelligence (AI)—not just to the self-driving capability but to the technology testing the in-vehicle systems. Yet that involves making significant investments in innovation on top of testing the next wave of systems to meet driver expectations for the latest and greatest technology.