HUDs help to create a greater sense of awareness and highlight things that drivers may not have noticed themselves, be it speed limits or road layouts. Compared to the infotainment stack in the center of the dashboard, a HUD can also provide a more effective visual aid for navigation by ‘projecting’ directions onto the road.
To many drivers, this is a small and intuitive change to the HMI, but one with a significant benefit. “If you always have to look at the cockpit or the cluster to read information on speed or navigation, it is distracting,” Schupfner observes. “The natural field of view is straight ahead, and thus the natural way is to overlay reality with additional information.”
Visteon is developing a windshield HUD that can process AR – a technology that is seeing considerable interest from automakers. In partnership with the company’s autonomous driving computer, this HUD can also carry out object recognition. Through this, an environmental model of the car’s surroundings can be created, and both static objects, such as parked cars, and dynamic objects, like cyclists, can be recognized. This information can be sent to the second layer of the HUD, and displayed via AR to the driver.
Automotive World notes that early expectations for the roll-out of Level 5 autonomous vehicles may have been too lofty, and the timeline for their widespread deployment has been pushed back somewhat. The issue, Markus says, is that drivers may have a hard time trusting robotic vehicles. “Mainstream Level 5 automation was initially expected around 2028-2030. Now it has shifted even beyond that, with expectations for 2035,” he explains. "It is not just about the technology or government regulations, it is mainly about the human factor – could you trust a plane without a pilot?" he asks.
Level 4 autonomous driving is likely to arrive much sooner, he suggests. There are already production programs in place for such vehicles to hit the market in 2021, and this is helping to steer the industry’s innovation in HMI systems.
