At this week’s Mobile World Congress, Ford unveiled the new Kuga SUV and also announced various new advancements towards its fully autonomous vehicle.
Ford CEO Mark Fields this week unveiled the new Kuga SUV at Mobile World Congress in Barcelona, and committed to tripling Ford’s engineering investment in semi-autonomous vehicle technologies as the company continues to expand its Ford Smart Mobility plan.
Fields’ keynote at Mobile World Congress in Barcelona focused on Ford’s transition from an automotive company to an auto and a mobility company through Ford Smart Mobility – the company’s plan to be a leader in connectivity, mobility, autonomous vehicles, customer experience, and data and analytics.
Fields also confirmed FordPass, the company’s new customer experience platform, debuts this year in Europe. New partners for FordPass include BP and Mobile City, a leading mobile parking payment company. FordPass also will integrate Ford Carsharing, run with Germany’s Flinkster Carsharing.
“As we look to the future, it is clear we are on the cusp of a revolution in mobility – from car sharing to autonomous driving to the customer experience,” Fields said. “Technology and innovation provide us with the opportunity to address these trends and to make people’s lives better by changing the way the world moves.”
Ford provided the following information:
The new Kuga
The sophisticated new Kuga will offer technologies and updates to make driving simpler, safer, more enjoyable and more affordable. These include Ford’s new SYNC 3 communications and entertainment system, innovative driver assistance technologies, an ergonomic and comfortable interior and a new 120 PS 1.5-litre TDCi diesel engine.
The bold and sporty new Kuga that debuts at Mobile World Congress also will offer Ford’s Perpendicular Parking technology that helps drivers park hands-free in spaces alongside other cars; an enhanced version of the Active City Stop collision avoidance system; and Ford’s Adaptive Front Lighting System for optimised visibility in low light. Further sophisticated technologies include Hands-Free Liftgate and Ford Intelligent All Wheel Drive.
Ford is tripling its driver assist technology engineering investment to make it easier to drive in heavy traffic and park, while developing fully autonomous vehicles for the future. The significant increase in investment announced today will enable Ford to research and develop driver assist technology that transfer more driving tasks to the vehicle and provide more comfort and safety to the driver.
Ford is taking two distinct pathways toward vehicle automation. First, the company has a dedicated team developing driver assist technology that is focused on delivering increasing levels of automation.
Traffic Jam Assist helps the driver with steering, braking and acceleration in heavily congested traffic situations on motorways. Easily activated by pushing a button, the system helps keep the vehicle centred in the lane and brakes and accelerates to keep pace with the vehicle in front.
Fully Active Park Assist will help drivers by steering and controlling the transmission, throttle and brake to seamlessly pull into a parking spot at the touch of a button.
Further semi-autonomous technologies already introduced by Ford include Pre-Collision Assist with Pedestrian Detection, a camera- and radar-based system that detects vehicles and people in the road ahead; and Intelligent Speed Limiter, which could help prevent drivers from exceeding speed limits, and potentially from incurring costly speeding penalties.
“The use of semi-autonomous functions such as Traffic Jam Assist and Fully Active Park Assist make driving easier and more enjoyable for our customers,” said Ken Washington, vice president, Ford Research and Advanced Engineering.
As for the future, Ford also has a dedicated fully autonomous vehicle programme in Aachen, Germany, and in Palo Alto, California, and Dearborn, Michigan, in the U.S., with more than a decade of experience.
Ford is seeking to deliver autonomous capability that does not require driver input described by the SAE International as Level 4 of automation. At this level of capability, autonomous vehicles will likely be offered first in climates that support optimal sensor performance and in areas that have been mapped in high resolution 3D.
Already, Ford is the first automaker to test fully autonomous vehicles in winter weather, including snow, and recently announced plans to triple the company’s autonomous vehicle development fleet making it the largest of all automakers.
“We are committed to making autonomous vehicles available for millions of people,” Washington said. “Within well-defined areas and with favourable environmental conditions, we predict that fully autonomous driving will be possible within four years, and that autonomous vehicles will play a significant role in making travel safer, more enjoyable, and more accessible.”
A new customer experience
FordPass features four elements. A Marketplace offering access to mobility services and partners; trusted and knowledgeable FordGuides who are always there to help members to resolve mobility challenges; Appreciation, where members are recognised for their loyalty; and FordHubs, where consumers can experience new innovations.*
Through FordPass owners will be able to manage their vehicle, including scheduling maintenance services. The partnerships announced today will bring significant benefits to FordPass members as follows:
- The partnership with BP will reward members with exclusive offers and geolocation services, adding to loyalty partners including McDonalds and 7-Eleven. In the future, FordPass may enable members to search for nearby BP locations based on facilities available. Ford and BP can envision helping members to fill up at the right time and in the right place. This might for example include members remaining comfortable inside a vehicle and not stand outside in the cold or the heat, while a robot does the refuelling
- Through its existing partnership with Flinkster, one of the biggest car sharing companies in Germany incorporating dealerships, FordPass will offer 24-hour access to more than 4,000 cars country-wide. This includes Ford Carsharing’s fleet of 190 vehicles, from Transit to Fiesta, and Flinkster’s own fleet of cars, most of which are Ford vehicles
- Parkopedia, the global database for parking spaces, allows all FordPass members to search for parking, based on location, cost, availability and user ratings. In addition, as an on-street parking payment provider, Mobile City will help to provide a more seamless parking experience by enabling drivers to pay fees through FordPass . That could mean no need to keep coins, or for the right change, and beyond that – supporting a future that could see members’ cars park themselves in off-street facilities
“This all-new platform that we are launching in Europe later this year is really about listening to people’s needs and developing ways to help them move better. It’s also about convenience, connecting consumers with the world and making it all incredibly easy,” Fields said.
Mobility – new ways of getting about
As part of Ford Smart Mobility, the company is working to expand the range of car-sharing and parking services offered in European cities and towns.
In London, with its new GoPark pilot, Ford is building a predictive parking system – capable of directing drivers to streets where they’re most likely to find a space. A group of residents from the borough of Islington have volunteered to take part – with their cars being equipped with plug-in devices to give live data for traffic and parking conditions. The pilot includes both Ford and non-Ford vehicles.
Also in London, Ford’s on-demand GoDrive car-sharing pilot is now trialling on-street parking on certain streets. Since launching last year, the service has expanded to 25 hubs across the city, each with guaranteed parking, at locations that include London Waterloo railway station and London City Airport.
In Germany, bookings for Ford Carsharing, designed to serve small and medium sized cities, as well as large towns, were up by 76 per cent in 2015, with customers already driving more than 1 million kilometres in total during the year. The service is offered by Ford Germany and their dealers with 170 Ford Carsharing stations all over Germany.
Connectivity, data and analytics
Ford also at Mobile World Congress demonstrated on the new Kuga, for the first time in Europe, its new SYNC 3 communications and entertainment system. SYNC 3 allows drivers to control audio, navigation, and climate functions plus connected smartphones using simple, conversational voice commands.
The company announced new apps for the system that can be voice-activated using SYNC AppLink, and include enabling drivers to earn money by transporting packages. The MyBoxMan app enables drivers delivering a package for others to earn around ?5-8 for a typical five kilometre journey.**
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.