Visteon Corporation’s new technical centre in Silicon Valley will lead the company’s development of artificial intelligence for autonomous vehicles. Visteon’s breakthrough autonomous vehicle programme will apply machine learning technology for accurately detecting and classifying objects in a vehicle’s path and planning the vehicle’s movements, resulting in fully trained driving control systems. Visteon is targeting launching its first autonomous driving domain controller platform in 2018.
The recently-opened facility in Santa Clara, California, will work closely with global Visteon tech centres to develop excellence in artificial intelligence software, advanced driver awareness systems (ADAS) and deep machine learning. These efforts will support Visteon’s approach to autonomous driving, with three key elements: Creating fail-safe, centralized domain controller hardware leveraging Visteon’s industry-first cockpit domain controller, Smartcore; Unlocking the innovation potential of algorithm developers through an easy-to-access open framework and test/simulation environment; and Applying artificial intelligence for object detection, classification, perception and decision-making in future autonomous vehicles.
“The most current advanced driver assistance systems based on radar and cameras are not capable of accurately detecting and classifying objects, such as cars, pedestrians or bicycles, at a level required for autonomous driving. We need to achieve virtually 100 percent accuracy for autonomous driving, which will require innovative solutions based on deep machine learning technology. Our Silicon Valley team, with its focus on machine learning software development, will be a critical part of our autonomous driving technology initiative,” Sachin Lawande, President and CEO of Visteon, said. Visteon’s facility in the heart of Silicon Valley will house a team of engineers specializing in artificial intelligence and machine learning. It will also play a key role in delivering control systems, localisation and vision processing – interpreting live camera data and converting them to information required for autonomous driving.