Under the technology partnership, vehicles sold by the Alliance members in many markets will utilize Android, the world’s most popular operating system, and will provide turn-by-turn navigation with Google Maps, access to a rich ecosystem of automotive apps on the Google Play Store and have the ability to answer calls and texts, control media, find information, and manage vehicle functions with voice using the built in Google Assistant.
The Alliance, whose member companies last year sold 10.6 million vehicles in 200 markets, will integrate Google applications and services into infotainment and cloud-based systems to enhance the experience for customers of Renault, Nissan and Mitsubishi Motors brands. While a range of Alliance vehicles will share the Android platform, each brand will have flexibility to create a unique customer interface and specific features on top of the common Android platform.
The infotainment partnership forms part of Alliance moves to equip more vehicles with connectivity and cloud-based services as part of its Alliance 2022 mid-term plan. Today’s announcement, coinciding with the first anniversary of the mid-term plan, symbolizes the Alliance focus on next generation technology. Under the plan, Renault-Nissan-Mitsubishi is targeting increased sales of more than 14 million units a year by the end of 2022.
The plan also involves the launch of 12 new zero-emission electric vehicles, new autonomous-driving technologies and the ongoing rollout of the Alliance Intelligent Cloud.
The Alliance Intelligent Cloud will provide next-generation infotainment systems with secure connectivity by offering a platform to integrate data management, infotainment systems and to facilitate over-the- air upgrades and remote diagnostics in Alliance member-company vehicles.
By combining the latest technologies from the Alliance and Google, the Alliance member companies’ vehicles will have one of the most intelligent infotainment systems in the market.
Drivers and passengers will be able to leverage Google and Android’s capabilities to access an ecosystem that includes thousands of existing applications and an ever-expanding array of new apps. This integration, combined with the broad knowledge and a vibrant community of developers, will enable easy in-vehicle access to popular applications. The system will also be compatible with devices running other operating systems, such as Apple iOS.
Hadi Zablit, Senior Vice President of Business Development at Renault-Nissan-Mitsubishi, said, “Our partnership with Google will offer owners of our vehicles rich user experiences that are currently available only outside the vehicle or, to a limited extent, by connecting an Android device to supported vehicles. We are building powerful connected and seamless on-board / off-board experiences into our vehicles in addition to the features of Google applications and services that many users are accustomed to, including Google Maps, the Google Assistant and the Google Play Store.”
Kal Mos, Global Vice President of Alliance Connected Vehicles at Renault-Nissan-Mitsubishi, added, “With the integration of the Android platform into our infotainment systems, we are adding a new level of intelligence to our connected vehicles. In the future, the Google Assistant, which employs Google’s leading AI technology, can become the main way customers interact with their vehicles, hands-free. With Google Maps and the Google Assistant embedded in Alliance infotainment systems, our customers will have some of the most advanced AI based applications at their fingertips. And with invehicle access to the Google Play Store, our customers will enjoy an open and secure ecosystem of Android apps engineered for vehicles.”
Hiroshi Lockheimer, Senior Vice President of Platforms & Ecosystems at Google, said, “Google and Renault-Nissan-Mitsubishi share a common vision of delivering an intelligent, safe and seamless incar experience with apps and services that are familiar, upgradable and connected. We’re thrilled to partner with Renault-Nissan-Mitsubishi to bring the Google Assistant, Google Maps, and other popular apps via the Play Store and Android to drivers and passengers around the world.”
Project Bloodhound saved
The British project to break the world landspeed record at a site in the Northern Cape has been saved by a new backer, after it went into bankruptcy proceedings in October.
Two weeks ago, and two months after entering voluntary administration, the Bloodhound Programme Limited announced it was shutting down. This week it announced that its assets, including the Bloodhound Supersonic Car (SSC), had been acquired by an enthusiastic – and wealthy – supporter.
“We are absolutely delighted that on Monday 17th December, the business and assets were bought, allowing the Project to continue,” the team said in a statement.
“The acquisition was made by Yorkshire-based entrepreneur Ian Warhurst. Ian is a mechanical engineer by training, with a strong background in managing a highly successful business in the automotive engineering sector, so he will bring a lot of expertise to the Project.”
Warhurst and his family, says the team, have been enthusiastic Bloodhound supporters for many years, and this inspired his new involvement with the Project.
“I am delighted to have been able to safeguard the business and assets preventing the project breakup,” he said. “I know how important it is to inspire young people about science, technology, engineering and maths, and I want to ensure Bloodhound can continue doing that into the future.
“It’s clear how much this unique British project means to people and I have been overwhelmed by the messages of thanks I have received in the last few days.”
The record attempt was due to be made late next year at Hakskeen Pan in the Kalahari Desert, where retired pilot Andy Green planned to beat the 1228km/h land-speed record he set in the United States in 1997. The target is for Bloodhound to become the first car to reach 1000mph (1610km/h). A track 19km long and 500 metres wide has been prepared, with members of the local community hired to clear 16 000 tons of rock and stone to smooth the surface.
The team said in its announcement this week: “Although it has been a frustrating few months for Bloodhound, we are thrilled that Ian has saved Bloodhound SSC from closure for the country and the many supporters around the world who have been inspired by the Project. We now have a lot of planning to do for 2019 and beyond.”
Motor Racing meets Machine Learning
The futuristic car technology of tomorrow is being built today in both racing cars and
toys, writes ARTHUR GOLDSTUCK
The car of tomorrow, most of us imagine, is being built by the great automobile manufacturers of the world. More and more, however, we are seeing information technology companies joining the race to power the autonomous vehicle future.
Last year, chip-maker Intel paid $15.3-billion to acquire Israeli company Mobileye, a leader in computer vision for autonomous driving technology. Google’s autonomous taxi division, Waymo, has been valued at $45-billion.
Now there’s a new name to add to the roster of technology giants driving the future.
Amazon Web Services, the world’s biggest cloud computing service and a subsidiary of Amazon.com, last month unveiled a scale model autonomous racing car for developers to build new artificial intelligence applications. Almost in the same breath, at its annual re:Invent conference in Las Vegas, it showcased the work being done with machine learning in Formula 1 racing.
AWS DeepRacer is a 1/18th scale fully autonomous race car, designed to incorporate the features and behaviour of a full-sized vehicle. It boasts all-wheel drive, monster truck tires, an HD video camera, and on-board computing power. In short, everything a kid would want of a self-driving toy car.
But then, it also adds everything a developer would need to make the car autonomous in ways that, for now, can only be imagined. It uses a new form of machine learning (ML), the technology that allows computer systems to improve their functions progressively as they receive feedback from their activities. ML is at the heart of artificial intelligence (AI), and will be core to autonomous, self-driving vehicles.
AWS has taken ML a step further, with an approach called reinforcement learning. This allows for quicker development of ML models and applications, and DeepRacer is designed to allow developers to experiment with and hone their skill in this area. It is built on top of another AWS platform, called Amazon SageMaker, which enables developers and data scientists to build, train, and deploy machine learning quickly and easily.
Along with DeepRacer, AWS also announced the DeepRacer League, the world’s first global autonomous racing league, open to anyone who orders the scale model from AWS.
As if to prove that DeepRacer is not just a quirky entry into the world of motor racing, AWS also showcased the work it is doing with the Formula One Group. Ross Brawn, Formula 1’s managing director of Motor Sports, joined AWS CEO Andy Jassy during the keynote address at the re:Invent conference, to demonstrate how motor racing meets machine learning.
“More than a million data points a second are transmitted between car and team during a Formula 1 race,” he said. “From this data, we can make predictions about what we expect to happen in a wheel-to-wheel situation, overtaking advantage, and pit stop advantage. ML can help us apply a proper analysis of a situation, and also bring it to fans.
“Formula 1 is a complete team contest. If you look at a video of tyre-changing in a pit stop – it takes 1.6 seconds to change four wheels and tyres – blink and you will miss it. Imagine the training that goes into it? It’s also a contest of innovative minds.”
Formula 1 racing has more than 500 million global fans and generated $1.8 billion in revenue in 2017. As a result, there are massive demands on performance, analysis and information.
During a race, up to 120 sensors on each car generate up to 3GB of data and 1 500 data points – every second. It is impossible to analyse this data on the fly without an ML platform like Amazon SageMaker. It has a further advantage: the data scientists are able to incorporate 65 years of historical race data to compare performance, make predictions, and provide insights into the teams’ and drivers’ split-second decisions and strategies.
This means Formula 1 can pinpoint how a driver is performing and whether or not drivers have pushed themselves over the limit.
“By leveraging Amazon SageMaker and AWS’s machine-learning services, we are able to deliver these powerful insights and predictions to fans in real time,” said Pete Samara, director of innovation and digital technology at Formula 1.