Start Time: 11:20
End Time: 11:50
Drivers are the biggest source of uncertainty in the operation of cars. Computer vision is helping to eliminate human error and make the roads safer. But 14 years after autonomous vehicles successfully completed the DARPA Grand Challenge, the question remains: “Where’s my driverless car?” In this talk, we examine three key areas where development of automotive computer vision and related technologies has been slower than expected.
First, we’ve seen that achieving robust designs with very low failure rates has proven more difficult than expected. Second, the technology is expensive, and current business cases don’t support these costs. And, third, we have not yet scaled up to mass-produce self-driving cars. We’ll explain why progress in these areas has been slower than expected, and will explore the vision processing performance requirements that have proven challenging. Finally, we’ll share our view on how collaboration between innovative ecosystem suppliers will enable consumer-ready cars with high reliability, safety and security.