For instance, when the driver wants to stop at a traffic light, the conventional algorithm follows these steps: first, the red light is detected, and the brakes are applied. Based on whether there is another car ahead, the driver stops at the white line or behind that car. AI, on the other hand, can use a technology called reinforcement learning, where the vehicle observes and learns how to stop at the light perfectly, rather than following pre-defined logic. This is done by creating a huge number of simulations of the vehicle stopping at the light, with good and bad outcomes. Each of these different scenarios helps train the AI algorithm to perform that maneuver perfectly, while avoiding collisions and undesirable situations.

Visteon's DriveCore™ platform accelerates adoption of self-driving technology by facilitating automakers’ building of driving solutions quickly, in an open collaboration model. DriveCore™ consists of hardware, in-vehicle middleware, and PC-based software toolsets needed to develop machine learning algorithms for autonomous driving applications of Level 3 and above. Also, its autonomous driving feature, highway auto-pilot—a hands-free vehicle operation in a highway environment—enables a vehicle to travel from the entrance ramp of a highway to the exit ramp on its own, using AI and other autonomous driving technologies, while the driver can sit in hands-free and pedal-free comfort.

The DriveCore™ platform provides automakers a high-performance, failsafe domain controller enabling all major areas of autonomous driving including sensor-fusion with perception, AI and computer vision algorithms, automated drive-by-wire actuation, and vehicle-to-vehicle and vehicle-to-infrastructure technology. It also uses highly advanced security protocols to prevent hacking into vehicles, while supporting the integration of data from multiple cameras, Lidar, radar, and other sensors.

With 40 facilities in 18 countries, Visteon is transforming the driver-car relationship through a world of advanced driving solutions and its domain controller expertise. “The majority of cars on the road have a maximum of Level 2 autonomy, but with the advent of capabilities like highway auto-pilot and driverless self-parking, the market is clearly ready to go toward Level 3 and 4 autonomous driving, which paves the way for improved safety, productivity and driving efficiency, among many other benefits,” explains Nadkarni.