Within the framework of the Los Angeles Auto Show, Intel has announced a collaboration with the entertainment company Warner Bros. to develop immersive experiences in autonomous vehicle environments. «Under the name of AV Entertainment Experience, we are creating the first car of its kind, as a proof of concept to demonstrate the possibilities that entertainment will offer in the vehicles of the future,» explains Brian Krzanich, CEO of Intel.
As a member of Intel’s fleet of 100 test vehicles, this car will serve to show the potential for entertainment in the world of autonomous driving, where cars will become a new type of consumer space. According to the person in charge, «we have barely begun to scratch the surface when it comes to the conception of car design, the interaction between passengers and how they will pass the time when they no longer have to worry about driving. In this regard, autonomous driving represents the biggest revolution to date, offering a new platform for innovation, from on-board design and entertainment to safety systems to save lives. «
As the occupants of the vehicles change from drivers to passengers, the time they spend connected to their devices will increase, including the reproduction of videos. In fact, the latest studies on transportation indicate that Americans spend, on average, more than 300 hours at the wheel each year.
To take advantage of this increase in available time, Warner Bros and Intel have conceived important possibilities in the space of the autonomous vehicle. «We believe that passengers will not only consume content, such as movies and television, but also imagine the occupants of these vehicles enjoying immersive experiences like never before, thanks to innovations in virtual reality and augmented reality on board,» says Brian Krzanich.
The ultimate test for the future of autonomous cars will be to win over the passengers, according to the CEO. «But at Intel, we believe that the technology we are offering to the market is not only aimed at enjoying travel, but also saving lives. In fact, autonomous systems represent the logical extension of safety belts, airbags and ABS. Currently, Mobileye’s ADAS technology is being used and saving lives on the road. It has been demonstrated that the current Mobileye ADAS products reduce the number of accidents by 30%, saving 1,400 lives, avoiding 450,000 collisions and saving 10 billion dollars in economic losses. However, we can not stop there. Our long-term goal must be to reach the figure of zero deaths due to driving. «
To achieve this goal, Krzanich says that it is necessary to establish standards and create solutions that allow the production and adoption of autonomous vehicles on a large scale. «In the long period during which autonomous vehicles will share the road with human drivers, the sector will need standards to assign responsibility in the event of a collision in a definitive manner.»
With this objective, Intel is collaborating with members of the sector and legislators to establish systems for measuring and interpreting the performance of autonomous cars in terms of safety. «By anticipating the creation of clear rules that assign responsibility, we will be increasing public confidence and clarifying liability risks for consumers and the automotive and insurance sectors,» the person in charge stresses. Intel and Mobileye have already proposed a formal mathematical model called ‘Responsibility-Sensitive Safety’ to ensure that autonomous vehicle systems do not issue commands that cause an accident, from the perspective of planning and decision making.
Finally, the security systems of the future will be based on maximum efficiency technologies to manage the high data processing requirements of artificial intelligence. «Earlier this year, we closed an agreement with Mobileye. Now, thanks to the combination of Mobileye’s ‘eyes’ and the ‘brain’ of Intel’s microprocessors, we will be able to offer deep learning with a performance more than twice that of the competition. » It is, according to Krzanich, a considerable and very significant difference. «Deep learning more than twice as efficient can improve fuel consumption and use less expensive cooling solutions.»