Ford has released the Ford Split View Camera which allows drivers to see around corners and through intersections without them having to inch to their cars forward into oncoming traffic.
For drivers, blind junctions can be a nerve-wracking experience as they slowly inch forward into traffic and strain to see and hear oncoming vehicles.
Now Ford Motor Company is introducing a new camera technology that can see around corners even when drivers cannot – reducing stress and potentially helping avert collisions.
The innovative Front Split View Camera – now available as an option in the all-new Ford S-MAX and Galaxy – displays to the driver a 180-degree view from the front of the car, using a video camera in the grille. At a blind junction or exiting a driveway, the camera enables drivers to easily spot approaching vehicles, pedestrians or cyclists.
“We have all been there and it’s not just blind junctions that can be stressful, sometimes an overhanging tree, or bushes can be the problem,” said Ronny Hause, engineer, Driver Assistance Electronic Systems, Ford of Europe, whose team worked closely on the project with their U.S. counterparts. “For some, simply driving off their own driveways is a challenge. Much like rear-view cameras, Front Split View Camera is one of those technologies that people will soon wonder how they managed without.”
The first-in-segment technology is activated at the push of a button. A 1-megapixel camera in the front grille enables drivers to see a real-time 180-degree view – both left and right – on the vehicle’s 8-inch colour touchscreen. Drivers can track road-users that approach on either side and pass in front of the vehicle. The camera, just 33 millimetres wide, is kept clear by a specially designed retractable jet-washer that operates automatically when the windscreen wipers are activated.
Data recorded by the European Road Safety Observatory SafetyNet project indicated that approximately 19 per cent of drivers involved in accidents at junctions experienced obstructions to view. The U.K. Department of Transport said that in 2013, vision affected by external factors contributed to 11 per cent of all road accidents.
“From sunrise to sunset we tested the Front Split View Camera on all kinds of roads, congested urban streets and areas with a lot of cyclists and pedestrians,” Hause said. “Tackling tunnels, narrow alleys and garages in all light conditions also meant we could ensure the technology worked well even when sunlight was shining directly into the camera.”
Ford models including the all-new S-MAX and Galaxy already offer Rear View Camera technology that helps drivers manoeuvre the vehicle when in reverse; and Cross Traffic Alert system, which uses rear-mounted sensors to warn drivers reversing out of a parking space of vehicles that may soon be crossing behind them. Further new driver assistance technologies offered for the all-new S-MAX and Galaxy include:
- Intelligent Speed Limiter, which when activated scans traffic signs and adjusts the throttle to help drivers stay within legal speed limits and avoid fines
- Pre-Collision Assist with Pedestrian Detection, which will reduce the severity of some frontal collisions involving vehicles and pedestrians, or help drivers avoid some impacts altogether
- Glare-Free Highbeam technology for the adaptive LED headlamps, which detects vehicles ahead and fades out light that could dazzle oncoming drivers, while retaining maximum illumination for other areas
“Pulling out at a blind junction can be a tricky manoeuvre for new and experienced drivers alike. The best approach has traditionally been to simply lean forward to get the best view whilst creeping forwards with the windows wound down to listen for approaching vehicles, but cyclists are a particular risk as they can’t be heard,” said Keith Freeman, an AA Quality Training Manager in the U.K. who also trains young drivers as part of the Ford Driving Skills For Life programme. “This technology will certainly make emerging from anywhere with a restricted view so much safer and the experience less nerve-wracking for those behind the wheel.”
The all-new S-MAX and Galaxy are available to order now. Front Split View Camera also will be offered for the all-new Ford Edge upscale SUV, available in Europe later this year.
Meet Aston Martin F1’s incredible moving data centre
The Aston Martin Red Bull Racing team faces a great deal more IT challenges than your average enterprise as not many IT teams have to rebuild their data center 21 times each year and get it running it up in a matter of hours. Not many data centers are packed up and transported around the world by air and sea along with 45 tonnes of equipment. Not many IT technicians also have to perform a dual role as pit stop mechanic.
The trackside garage at an F1 race is a tight working environment and a team of only two IT technicians face pressure from both the factory and trackside staff to get the trackside IT up and running very fast. Yet, despite all these pressures, Aston Martin Red Bull Racing do not have a cloud-led strategy. Instead they have chosen to keep all IT in house.
The reason for this is performance. F1 is arguably the ultimate performance sport. A walk round the team’s factory in Milton Keynes, England, makes it abundantly clear that the whole organization is hell bent on maximizing performance. 700 staff at the factory are all essentially dedicated to the creation of just two cars. The level of detail that is demanded in reaching peak performance is truly mind blowing. For example, one machine with a robotic arm that checks the dimensions of the components built at the factory is able to measure accuracy to a scale 10 times thinner than a human hair.
This quest for maximum performance, however, is hampered at every turn by the stringent rules from the F1 governing body – the FIA. Teams face restrictions on testing and technology usage in order to prevent the sport becoming an arms race. So, for example, pre-season track testing is limited to only 8 days. Furthermore, wind tunnel testing is only allowed with 60% scale models and wind tunnel-usage is balanced with the use of Computational Fluid Dynamics (CFD) software, essentially a virtual wind tunnel. Teams that overuse one, lose time with the other.
In order to maximize performance within uniquely difficult logistical and regulatory conditions, the Aston Martin Red Bull Racing team has had to deploy a very powerful and agile IT estate.
According to Neil Bailey, Head of IT Infrastructure, Enterprise Architecture and Innovation, their legacy trackside infrastructure was “creaking”. Before choosing hyperconverged infrastructure, their “traditional IT had reached its limits”, says Bailey. “When things reach their limits they break, just like a car,” adds Bailey.
The team’s biggest emphasis for switching to HPE’s hyperconverged infrastructure, SimpliVity, was performance. Now, with “the extra performance of SimpliVity, it means it doesn’t get to its limits,” says Bailey. HPE SimpliVity has helped reduce space, has optimized processing power and brought more agility.
One of the first and most important use cases they switched to hyperconverged infrastructure was post-processing trackside data. During a race weekend each car is typically fitted with over 100 sensors providing key data on things like tyre temperature and downforce multiple times per second. Processing this data and acting on the insights is key to driving performance improvements. With their legacy infrastructure, Bailey says they were “losing valuable track time during free practice waiting for data processing to take place.” Since switching to HPE SimpliVity, data processing has dropped from being more than 15 minutes to less than 5 minutes. Overall, the team has seen a 79% performance boost compared to the legacy architecture. This has allowed for real time race strategy analysis and has improved race strategy decision making.
Data insights helps the team stay one step ahead, as race strategy decisions are data driven. For example, real time tyre temperature data helps the team judge tyre wear and make pit stop decisions. Real time access to tyre data helped the team to victory at the 2018 Chinese Grand Prix as the Aston Martin Red Bull cars pitted ahead of the rest of the field and Daniel Ricciardo swept to a memorable victory.
Hyperconverged infrastructure is also well suited to the “hostile” trackside environment, according to Bailey. With hyperconverged infrastructure, only two racks are needed at each race of which SimpliVity only takes up about 20% of the space, thus freeing up key space in very restricted trackside garages. Furthermore, with the team limited to 60 staff at each race, only two of Bailey’s team can travel. The reduction in equipment and closer integration of HPE SimpliVity means engineers can get the trackside data center up and running quickly and allow trackside staff to start work as soon as they arrive.
Since seeing the notable performance gains from using hyperconverged infrastructure for trackside data processing, the team has also transitioned some of the factory’s IT estate over to HPE SimpliVity. This includes: Aerodynamic metrics, ERP system, SQL server, exchange server and the team’s software house, the Team Foundation Server.
As well as seeing huge performance benefits, HPE SimpliVity has significantly impacted the work patterns of Bailey’s team of just ten. According to Bailey, the biggest operational win from hyperconverged infrastructure is “freeing up engineers’ time from focusing on ‘business as usual’ to innovation.” Traditional IT took up too much of the engineers’ time monitoring systems and just keeping things running. Now with HPE SimpliVity, Bailey’s team can “give the business more and quicker” and “be more creative with how they use technology.”
Hyperconverged infrastructure has given Aston Martin Red Bull Racing the speed, scalability and agility they require without any need to turn to the cloud. It allows them to deliver more and more resources to trackside staff in an increasingly responsive manner. However, even with all these performance gains, Aston Martin Red Bull Racing has been able to reduce IT costs. So, the users are happy, the finance director is happy and the IT team are happy because their jobs are easier. Hyperconvergence is clearly the right choice for the unique challenges of Formula 1 racing.
Body-tracking tech moves to assembly line
Technology typically used by the world’s top sport stars to raise their game, or ensure their signature skills are accurately replicated in leading video games, is now being used on an auto assembly line.
Employees at Ford’s Valencia Engine Assembly Plant, in Spain, are using a special suit equipped with advanced body tracking technology. The pilot system, created by Ford and the Instituto Biomecánica de Valencia, has involved 70 employees in 21 work areas.
Player motion technology usually records how athletes sprint or turn, enabling sport coaches or game developers to unlock the potential of sport stars in the real world or on screen. Ford is using it to design less physically stressful workstations for enhanced manufacturing quality.
“It’s been proven on the sports field that with motion tracking technology, tiny adjustments to the way you move can have a huge benefit,” said Javier Gisbert, production area manager, Ford Valencia Engine Assembly Plant. “For our employees, changes made to work areas using similar technology can ultimately ensure that, even on a long day, they are able to work comfortably.”
Engineers took inspiration from a suit they saw at a trade fair that demonstrated how robots could replicate human movement and then applied it to their workplace, where production of the new Ford Transit Connect and 2.0-litre EcoBoost Duratec engines began this month.
The skin-tight suit consists of 15 tiny movement tracking light sensors connected to a wireless detection unit. The system tracks how the person moves at work, highlighting head, neck, shoulder and limb movements. Movement is recorded by four specialised motion-tracking cameras – similar to those usually paired with computer game consoles – placed near the worker and captured as a 3D skeletal character animation of the user.
Specially trained ergonomists then use the data to help employees align their posture correctly. Measurements captured by the system, such as an employee’s height or arm length, are used to design workstations, so they better fit employees.