Connect with us

Cars

AR cuts design time at Ford

Published

on

Ford is expanding testing of Microsoft HoloLens mixed reality technology globally to gain speed in designing more stylish vehicles for its customers.

Ford designers have been swapping some clay-sculpting steels and rakes for mixed reality headsets and visualization software that can change vehicle design elements – side mirrors, grilles, vehicle interiors and more – in mere seconds.

Designers have been piloting Microsoft HoloLens technology for a year now in Ford’s Dearborn studios in the US, allowing them to see proposed virtual design elements as if these pieces were part of physical vehicles. They’ve been able to explore different shapes, sizes and textures of future vehicle attributes in minutes and hours instead of the weeks and months it can take to create clay models. And now, Ford is expanding this pioneering testing across the globe.

“It’s amazing we can combine the old and the new – clay models and holograms – in a way that both saves time and allows designers to experiment and iterate quickly to dream up even more stylish, clever vehicles,” says Jim Holland, Ford vice president, vehicle component and systems engineering. “Microsoft HoloLens is a powerful tool for designers as we continue to reimagine vehicles and mobility experiences in fast-changing times.”

HoloLens technology uses mixed reality, which enables designers to see holograms in photo-quality backdrops through wire-free headsets. They can scroll and preview at the flick of a finger through numerous design variations projected virtually onto an actual car or clay model.

“We may not be able to teleport yet, but HoloLens allows us to review full-size 3D designs with designers and engineers around the world in real time,” says Craig Wetzel, Ford manager, design technical operations. “And we’ve only just scratched the surface, so possibilities for the future seem almost limitless. This is very exciting.”

Seeing the future

As designers wearing headsets move around an actual vehicle, the Microsoft HoloLens scans and maps the environment far more accurately than GPS to render holograms and images from the angle at which the vehicle is being viewed. A Windows 10 computer embedded in the headsets brings the power of the operating system to a holographic device that is untethered, wearable and mobile. Traditionally, designers and engineers have to wear headsets that rely on cables tethered to a PC.

Designers see 3D holographic images of themes and features as though these elements were already part of the vehicle – allowing them to quickly evaluate the design, make changes, and determine styling options earlier in development.

“With HoloLens, we can instantly flip through virtual representations to decide which direction they should go,” says Michael Smith, Ford design manager. “As a designer, you want to show, not just tell. This is much more compelling.”

Ford has adapted HoloLens technology to enable designers to collaborate with engineers to better understand the customer experience, too. For example, the technology allows a designer and engineer to evaluate in near-real time how a new side mirror looks aesthetically, as well as the customer’s view of the vehicle’s surroundings.

Whereas today it can take days, even weeks, to study a grille design, HoloLens allows designers and engineers to explore a variety of different iterations in a matter of hours. The headsets can even be synced to allow multiple team members to view a design simultaneously, making collaboration easy. They can also record audio notes – high-tech “sticky notes” – for team members working in other time zones or off-site.

Beyond the global design test, Ford is investigating how to bring HoloLens technology into more engineering development processes to further bolster the company’s lead in using advanced visualization technologies such as virtual reality.

“HoloLens allows a whole team of people to collaborate, share and experience ideas together,” says Elizabeth Baron, Ford virtual reality and advanced visualization technical specialist. “Mixing virtual and physical models is exciting, because it helps our designers and engineers communicate effectively and ideate to see what the future looks like earlier in the process. This allows great freedom and efficiency in how prototypes are created or changed.”

Cars

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.

Published

on

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.”

Continue Reading

Cars

Motor Racing meets Machine Learning

The futuristic car technology of tomorrow is being built today in both racing cars and
toys, writes ARTHUR GOLDSTUCK

Published

on

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.

DeepRacer on the inside

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.

DeepRacer on the outside

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.”

AWS CEO Andy Jassy unveils DeepRacer

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.

  • Arthur Goldstuck is founder of World Wide Worx and editor-in-chief of Gadget.co.za. Follow him on Twitter on @art2gee and on YouTube

Continue Reading

Trending

Copyright © 2018 World Wide Worx