Architecting the Future of 5G Transportation for a Better Life and a Safer World

Kids sit in the back of a minivan after their soccer game.

Cruising through my neighborhood the other day it really began to dawn on me what Intel CEO Brian Krzanich means when he says that cars are the next smartphones. As a minivan full of kids whizzed past me on the way to soccer camp I noticed that everyone inside, young and old, was on a smartphone generating data. I chuckled to myself as I sipped my morning cup of joe, wondering just how much data those kids were burning through.

Incredible amounts of data generation will change the lives of every one of those young soccer players by the year 2020, when Krzanich says humans are projected to generate 1.5 gigabytes of data a day through social posting and other forms of human-to-human communication. That’s little more than a light tap to the data center though compared to the powerful punt of 1Gbps autonomous cars are slated to generate. Our current 4G infrastructure just isn’t capable of successfully managing that level of data processing. That’s where fifth generation technology, or 5G, comes into the picture.


Why 5G is so Fly

A couple of road trip buddies stroll up to their autonomous vehicle, with Intel IoT as the best road trip copilot ever.

As a technologist working in the autonomous space, I’m seeing automakers—from BMW to Jaguar Land Rover—gearing up their vehicles with thousands of sensors, pulling data related to everything from vehicle location and external road conditions to brake usage and tire pressure. It’s 5G that will wirelessly transport secure sensor telemetry data back to the data center for improved performance down the road.

As mobile data traffic surges, connected vehicles will be among the billions (yes, billions) of connected devices competing for network bandwidth. To confidently deploy new features, autonomous driving scoring models, secure over-the-air software updates, and entertainment services, transportation providers will seek dedicated network slices with high Quality of Service and reduced end-to-end latency. The good news is that we’re already on the path to making that happen!


Intel’s Role in 5G

An drone image of traffic crossing a bridge.

As the world moves to 5G, Intel is advancing the tech evolution with end-to-end solutions that will integrate intelligence across the network, from the data center to the connected device and throughout systems in between. Intel has established key global partnerships with telecom and automotive leaders, and together we will deliver integrated 5G prototype solutions to ensure network readiness and successful early rollouts.

We are starting with multiple cellular research prototypes and smart city proposals. We’re contributing to Institute of Electrical and Electronics Engineers (IEEE) and the 3rd Generation Partnership Project (3GPP) to shape new standards, converge protocols, and align with equipment manufacturers. Finally, because 5G will be more pervasive than any previous generation of mobile technology, Intel will draw upon our expertise in end-to-end network security to guard personal data and ensure privacy.


Challenges on the Road to 5G-driven Autonomous Driving

An autonomous vehicle cruises down the road.

Bringing fully automated vehicles to fruition is requiring several major components. First, in-vehicle computing that provides a high performance per watt. Second, a robust 5G connection that delivers low latency vehicle-to-vehicle (V2V) communications, data-rich services and cloud apps to vehicles, users, and infrastructure. Third, a data center capable of supporting incredibly high amounts of data and memory-intensive deep learning models that continually retrain the vehicle. Fourth, an HMI that builds trust between passenger and vehicle and that is rooted in strong automotive security standards.

Finally, everything must be built upon a foundation of end-to-end security. I’m thrilled to be working for a team that is delving into to create secure experiences that span the vehicle, communications, and the data center.


The Future Looks Bright

A couple dances while their autonomous vehicle plays DJ.

When I wake up each day, I do so  ready to embrace the future that we’re creating together. As we’ve seen, there’s a lot to be excited about. Some of our planet’s greatest minds are collaborating with world-renowned research teams, and employing some of the foremost experts in a broad range of technologies—from vehicle dynamics to semiconductor physics, door locks to data centers—we are preparing the industry for the amazing future of transportation and autonomy. The road ahead has never looked brighter!

To learn more about the road ahead for connected transportation, visit For more on Intel IoT  developments, subscribe to our RSS feed for email notifications of blog updates, or visit, and Twitter.


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Meet the Future of Driving: High Performance In-Vehicle Compute with Headroom to Grow

Jaguar driver

It’s truly an exciting time for in-vehicle computing. What started with parking assist and rearview cameras has evolved into lane departure warning and dynamic cruise control, requiring more intelligence and compute in the vehicle. Each step toward the vision of connected and fully automated driving brings with it more sensors, more data, and more demand on compute. Through it all, security and safety must remain at the foundation of connected and automated vehicle design.

I’m excited when I think about how in-vehicle computing serves as the automated vehicle’s second engine. To help ensure the safety of passengers and the people around the vehicle, the vehicle must sense and react to its environment in real time. It must also provide dynamic, end-to-end protection against cybersecurity vulnerabilities. This requires a scalable in-vehicle computing platform capable of extreme multimodal sensor fusion, uncompromising reliability, and flexible hardware acceleration and security. Let’s take a look under the hood of in-vehicle computing, so to speak, and see how it is all coming together thanks to the most powerful growth engine in human history: collaboration.


Tremendous Compute Meets Scalable Architecture

In-vehicle computing is a first step toward autonomous driving.

Did you know that a self-driving car generates about 1GB of data every second? This means automated vehicles require substantial in-vehicle computing and a complex set of technologies for data collection, sensor fusion, edge analytics, and machine learning to sense, interpret, and classify vehicle data. I’m delighted to be part of a team that is delivering incredibly high compute performance per watt with a broad range of power-efficient silicon.

Our transportation roadmap provides scalable computing to strategically place computing resources with the best combination of power efficiency, performance, and cost. Our broad portfolio of power-efficient silicon ranges from field-programmable gate arrays (FPGAs) to Intel E5 processors. Intel believes an open, standards-based platform drives software reuse, flexibility, and a broader array of products and solutions that can scale across original equipment manufacturer (OEM) fleets and brands.
Intel is focusing on heterogeneous architecture designs that are well-suited to level 3 (“eyes off the road”), level 4 (“mind off the road”), and level 5 (“driver off the steering wheel”) automated vehicles. Rather than pursuing a single architecture to handle everything, Intel is designing for real-time decisions to be made independent of where the workload is running.


Collaboration is Key for Vehicle Safety

CEOs from Intel, BMW, and Mobileye interlock their hands while standing in front of an orange BMW.

Intel CEO Brian Krzanich (from left), Chairman of the Board of Management of BMW AG Harald Krüger and Mobileye Co-Founder, Chairman and CTO Professor Amnon Shashua speak at a news conference in Munich, Germany, on Friday, July 1, 2016. They are announcing a partnership among BMW Group, Intel and Mobileye to work together with the goal of bringing highly and fully automated driving into production by 2021. (Credit: BMW Group)

Thanks to round-the-clock and across-the-globe collaboration within the Intel IoT ecosystem, our portfolio of automotive-grade, functionally safe products is growing by the year. With our continued focus on security and safety, Intel provides layered protection from door lock to data center with features rooted in the hardware. These include secure boot and Intel Trusted Execution Engine (Intel TXE) to help resist attacks and infection from malware. We also provide secure storage for key exchange and encryption to ensure only authorized over-the-air (OTA) software updates are downloaded. Finally, Intel Virtualization Technology for Directed I/O (Intel VT-d) ensures the most safety-critical functions have priority access to the processor.

Everyone knows the automotive landscape is changing. Less clear is how to make the most of that change. As part of Intel’s portfolio of automotive assets, Wind River is helping build the highway to our transportation future. Powered by deep software expertise in mission-critical industries, Wind River is actively working with Intel on automotive technologies that speed the development for tomorrow’s connected and automated cars.

In addition to working with Wind River, Intel is also collaborating with software companies like Green Hills Software, QNX, and other key partners to provide solutions for the software-defined cockpit and automated driving.

Furthermore, to make self-driving vehicles and future mobility concepts a reality, BMW Group, Intel, and Mobileye have joined forces. By combining our expertise in automotive, technology, computer vision, and machine learning, we are creating an open platform for highly and fully automated driving. Together, we will bring solutions into series production by 2021. The BMW iNEXT model will be the foundation for BMG Group’s automated driving strategy and set the basis for fleets of fully automated vehicles.


In-Vehicle Compute Across Automakers

Intel CEO Brian Krzanich shakes hands with a representative from BMW at IDF 2016.

Another key requirement for self-driving cars is the ability to see and accurately interpret surroundings.  With Intel’s acquisition of Itseez, we’re able to deliver expertise in computer vision algorithms and implementations for embedded and specialized hardware. With Intel’s acquisition of Yogitech, we’re building our expertise in semiconductor functional safety, methodologies, and related standards.

I’m tremendously excited to be able to work with some of the world’s leading automakers, as they turn to Intel technology to power in-vehicle infotainment, imaging, and navigation systems. Among them are BMW, Hyundai, Infiniti, Kia, Ford, Jaguar Land Rover, and Toyota.

From successful collaborations to innovative new technology, there’s much to be excited about for automated vehicles. We look forward to continuing to drive down that road together.

To learn more about the road ahead for automated vehicles, visit For more on Intel IoT  developments, subscribe to our RSS feed for email notifications of blog updates, or visit, and Twitter.


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The Near Future for Connected Transport | Prof. John Miles, Cambridge University | IoT Forum 2016

Professor John Miles, Cambridge University

Nicolas-Joseph Cugnot built the first powered vehicle is 1768. It was steam powered. It would have been impossible to conceive then that the cars and transport systems of the near future would be more reliant on software than steam to make them operate. John discusses some of the latest innovations that mean cars and transport systems will be an integral part of a network that is better, safer and cheaper for users. As work starts on testing Elon Musk’s Hyperloop, the future of transport has never been more exciting. What will stop us from seeing fleets of self-driving cars on the roads of Britain in 2018?

Slides & Video below

Slides from Prof. Miles’ talk at IoT Forum 2016 here




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Opinion: Tesla’s insurance bundles offer a glimpse at the future of driverless car purchases

Tesla has begun to bundle insurance and maintenance costs with their vehicles, offering a potential glimpse at the future of purchasing cars in the driverless era.

Insurance will need to evolve with the rise of autonomous vehicle technology and current government plans lean towards manufacturers being responsible if accidents occur when the occupier hands over control to an onboard computer. This will increase potential costs for manufacturers, and we all know costs get passed on to customers.

Some owners have reported the plans have already lowered premiums

Rather than add on to a vehicle’s overall cost, car manufacturers will begin to bundle insurance policies from select partners with their vehicles alongside maintenance costs to ensure the cars are in peak condition and reduce the risk of them having accidents which lead to manufacturers having to pay out.

Tesla has begun rolling out such a model in Asia. “It takes into account not only the Autopilot safety features but also the maintenance cost of the car,” said Jon McNeill, President of Sales and Service at Tesla. “It’s our vision in the future we could offer a single price for the car, maintenance, and insurance.”

Rocketing insurance premiums are putting driving out the question for some people on lower incomes, which subsequently provides them with fewer opportunities in terms of both work and leisure. Driverless cars are expected to reduce the number of accidents on the road due to most being caused by human error, and this should lead to lower premiums.

“If we find that the insurance providers are not matching the insurance proportionate to the risk of the car then if we need to we will in-source it,” Tesla CEO Elon Musk said during the company’s Q4 2016 earnings call. “But I think we’ll find that insurance providers do adjust the insurance cost proportionate to the risk of a Tesla.”

In Hong Kong, Tesla has partnered with AXA General Insurance for its ‘InsureMyTesla’ program. In Australia, the company has selected QBE Insurance. Some owners have reported the plans have already lowered premiums. A future of mandatory insurance with new vehicle purchases will also reduce the plight of uninsured drivers.

For now, the Department for Transport (DfT) in the UK announced driverless insurance plans earlier this month for ‘two-in-one’ policies which covers a vehicle being controlled by a driver separate from a car being driven by a computer. When a driver is controlling the vehicle, the onus will be on them for any resulting accidents. When an onboard computer is in control, manufacturers will take responsibility for incidents as long as the owner has kept the vehicle updated and maintained.

Should insurance and maintenance costs be included with driverless vehicle purchases? Let us know in the comments. Latest from the homepage