Intel’s CEO Brian Krzanich just announced a collaboration with Warner Brothers to create a unique “AV Entertainment Experience” inside self-driving cars at a keynote at the AutoMobility Los Angeles. Brian showed the new entertainment experience will be tested in Intel’s 100-car AV test fleet.
The Intel-Warner Bros. collaboration will create immersive entertainment experiences through with in-cabin virtual reality (VR) and augmented reality (AR). For example, a fan of the superhero Batman could enjoy riding in the Batmobile through the streets of Gotham City, while AR capabilities on windows will enable passengers to view advertising and other discovery experiences.
As passengers shift from being drivers to riders, their connected-device time, including video-viewing time, will increase. In fact, recent transportation surveys indicate the average American spends more than 300 hours per year behind the wheel.
But creating such immersive experiences demands a lot of computing power and sensors. That’s why Intel also announced it is using Intel-Mobileye solution delivers more than twice the deep learning performance efficiency than the competing NVIDIA offering. This improved deep learning efficiency from Intel translates to better fuel economy and cheaper cooling solutions.
While the possibilities of in-cabin entertainment are fun to imagine, the ultimate test for the future of autonomous cars is going to be winning over passengers. The technology will not matter if there are no riders who trust and feel comfortable using it.
Intel notes that Mobileye ADAS (advanced driver assistance system) technology on the road today is already saving lives. Current ADAS products from Mobileye have proven to reduce accidents by 30 percent, saved 1,400 lives, prevented 450,000 crashes and saved $10 billion in economic losses. However, we cannot stop there. Our long-term goal has to be zero driving-related fatalities.
Already, Intel and Mobileye have proposed a formal mathematical model called Responsibility-Sensitive Safety (RSS) to ensure, from a planning and decision-making perspective, the autonomous vehicle system will not issue a command leading to an accident.
Intel vs. NIVIDIA
Intel claims that safety systems of the future will rely on technologies with maximum efficiencies to handle the enormous amount of data processing required for artificial intelligence.
Earlier this year, Intel closed our deal with Mobileye, the world’s leader in ADAS and creator of algorithms that can reach better-than-human-eye perception through a camera. Now, with the combination of the Mobileye “eyes” and the Intel microprocessor “brain,” can deliver more than twice the deep learning performance efficiency than the competition-NIVIDIA.
That is a huge difference and one that matters. More than two times the deep learning efficiency leads to better fuel economy and less expensive cooling solutions.
“From entertainment to safety systems, we view the autonomous vehicle as one the most exciting platforms today and just the beginning of a renaissance for the automotive industry,” said Krzanich
The comparison is based on Mobileye EyeQ5 TOPS performance expectations vs. NVIDIA claimed Xavier platform DL Performance of 30 TOPS at 30W. Deep learning Tera Operations Per Second (DL TOPS) – Typically 1 multiply-accumulate operation = 2 DL OPS. The widths of the integer matrix multiplication vary by architecture, dedicated hardware and supported topologies. Any claimed DLTOPS number depends on several assumptions such as frequency, number of MACs and various other hardware specifications. Performance tests and ratings are measured using specific computer systems and/or components and reflect the approximate performance of Intel products as measured by those tests. Any difference in system hardware or software design or configuration may affect actual performance. Buyers should consult other sources of information to evaluate the performance of systems or components they are considering purchasing. For more information on performance tests and on the performance of Intel products, visit Intel Performance Benchmark Limitations. Results have been simulated and are provided for informational purposes only. Results were derived using simulations run on an architecture simulator. Any difference in system hardware or software design or configuration may affect actual performance.