Autonomous care are evolving at a rapid pace, but the question many are asking themselves is will they be able to handle unpredictable situations and keep their occupants safe? Nissan MD, MIKE WHITFIELD, sheds some light on the situation.
Autonomous driving technology is developing at a rapid pace. Business Insider publication’s research platform has forecast that there will be around 10 million cars with various self-driving features on the road in the UK by 2020. But the closer we get to our ultimate goal of completely driverless cars, the more critical it becomes for manufacturers to ensure it’s safe for us to place these vehicles on the road.
It’s no secret that autonomous driving technology has the ability to change lives and to save them. Not only is this technology expected to reduce serious traffic incidents – the Society of Motor Manufacturers and Traders (SMMT) predicted that in the UK accidents would reduce by 25 000 a year by 2030 – but it will also make automotive transportation available to people who were previously unable to drive.
But as advances in autonomous driving technology continue, so important questions around the complexity of having these vehicles on the road continue to arise. For example, how can drivers learn to trust autonomous vehicles? How will vehicles communicate with drivers and alert them to the presence of other vehicles on the road? And, what actions will vehicles take after identifying objects, signs and other road infrastructure such as painted lanes?
Can driverless cars handle unpredictable situations?
One of the biggest questions around the safety of this technology is what would happen in an unpredictable situation? Would the system make the right decision and navigate the vehicle through the scenario safely?
At the moment the autonomous driving technology used on roads is not fully autonomous. Nissan’s ProPILOT, still requires a driver to be present and ready to take over the control of the vehicle at any moment.
The technology, which launched and went on sale in Japan last year, enables cars to drive autonomously is a single lane, including in heavy stop-and-go-traffic. It’s the first time that a combination of steering, acceleration and braking has been operated in fully automatic mode, easing the workload of the driver in heavy traffic.
However, ultimate control and responsibility remains with the driver.
In fact, should the driver remove their hands from the steering wheel, a warning light will come on and an alarm will sound. The system will literally deactivate until the driver places their hands back on the wheel.
The day is fast approaching, though, when completely driverless cars will become a reality.
When that day comes, the question of who takes control in an emergency situation will need to be answered.
Particularly a situation in which the technology would be required to make an ethical decision. For example, the decision to swerve and avoid hitting a pedestrian might endanger the passengers within the vehicle. How does the technology discern the right course of action in this instance?
Not surprisingly, the inability of autonomous vehicles to ‘handle’ these unpredictable situations is one of the major stumbling blocks to a future of fully autonomous driving.
The good news, however, is that SAM has the ability to solve this problem. Nissan’s Seamless Autonomous Mobility system (SAM) can navigate unforeseen situations such as accidents, road construction and other obstacles. Ultimately, SAM will help us realise a future in which autonomous cars can operate safely and smoothly.
How does SAM work?
Basically, SAM is smart enough to know when not to navigate a potentially dangerous situation by itself.
Let’s say while driving you encounter an accident scene at which police are using hand signals to direct traffic, possibly against the normal rules of the road. In this scenario SAM will bring your vehicle to a safe stop and request help from the command centre.
This request is passed on to a mobility manager – an actual person who is using vehicle images and sensor data (streamed via the wireless network) to assess the situation, decide on the correct action, and create a safe path around the obstruction.
The mobility manager paints a virtual lane for the vehicle to drive itself through. Then once it clears the accident scene, the vehicle again resumes full autonomy.
The great thing about SAM is that it’s able to learn from experience – and as autonomous technology improves, vehicles will require less assistance from the mobility managers.
This technology will literally speed up the introduction of autonomous vehicles to our roads by decades.
Watch this space!
Why sports cars make us feel good
Forget romance, fine dining or an epic boxset binge – new preliminary research reveals that driving a sports car on a daily basis is among the best ways to boost your sense of wellbeing and emotional fulfilment.
The study measured “buzz moments” – peak thrills that play a vital role in our overall wellness – as volunteers cheered on their favourite football team, watched a gripping Game of Thrones episode, enjoyed a passionate kiss with a loved one or took an intense salsa dancing class. Only the occasional highs of riding a roller coaster ranked higher than the daily buzz of a commute in a sports car.
Working with neuroscientists and designers, Ford brought the research to life with the unique Ford Performance Buzz Car: a customised Ford Focus RS incorporating wearable and artificial intelligence technology to animate the driver’s emotions in real time across the car’s exterior.
Watch the video here https://youtu.be/AFpt6jziFsU
“A roller coaster may be good for a quick thrill, but it’s not great for getting you to work every day,” said Dr Harry Witchel, Discipline Leader in Physiology. “This study shows how driving a performance car does much more than get you from A to B – it could be a valuable part of your daily wellbeing routine.”
Study participants who sat behind the wheel of a Ford Focus RS, Focus ST or Mustang experienced an average of 2.1 high-intensity buzz moments during a typical commute; this compared with an average of 3 buzz moments while riding on a roller coaster, 1.7 while on a shopping trip, 1.5 each while watching a Game of Thrones episode or a football match, and none at all while salsa dancing, fine dining or sharing a passionate kiss.
For the research, Ford took one Focus RS and worked with Designworks to create the Buzz Car:
From concept, design and installation to software development and programming, the Buzz Car took 1,400 man-hours to create. Each “buzz moment” experienced by the driver – analysed using a real-time “emotional AI” system developed by leading empathic technology firm Sensum – produces a dazzling animation across almost 200,000 LED lights integrated into the car. The Buzz Car also features:
- High-performance Zotac VR GO gaming PC
- 110 x 500-lumen daylight-bright light strips
- 82 display panels with 188,416 individually addressable LEDs
Driver state research
Researchers at the Ford Research and Innovation Center in Aachen, Germany are already looking into how vehicles can better understand and respond to drivers’ emotions. As part of the EUfunded ADAS&ME project, Ford experts are investigating how in-car systems may one day be aware of our emotions – as well as levels of stress, distraction and fatigue – providing prompts and warnings, and could even take control of the car in emergency situations.
“We think driving should be an enjoyable, emotional experience,” said Dr Marcel Mathissen, research scientist at Ford of Europe. “The driver-state research Ford and its partners are undertaking is helping to lead us towards safer roads and – importantly – healthier driving.”
|Activity||Buzz Moments *|
|Game of Thrones||1.5|
* Average number of high-intensity buzz moments per participant
Car that sees round corners
Jaguar Land Rover is leading a £4.7 million (approximately R79 million) project to develop self-driving cars that can ‘see’ at blind junctions and through obstacles.
Britain’s biggest carmaker is leading a project called AutopleX to combine connected, automated and live mapping tech so more information is provided earlier to the self-driving car. This enables automated cars to communicate with all road users and obstacles where there is no direct view, effectively helping them see, so they can safely merge lanes and negotiate complex roundabouts autonomously.
Chris Holmes, Connected and Autonomous Vehicle Research Manager at Jaguar Land Rover said: “This project is crucial in order to bring self-driving cars to our customers in the near future. Together with our AutopleX partners, we will merge our connected and autonomous research to empower our self-driving vehicles to operate safely in the most challenging, real-world traffic situations. This project will ensure we deliver the most sophisticated and capable automated driving technology.”
Jaguar Land Rover is developing fully- and semi-automated vehicle technologies, offering customers a choice of an engaged or automated drive, while maintaining an enjoyable and safe driving experience. The company’s vision is to make the self-driving car viable in the widest range of real-life, on- and off-road driving environments and weather.
AutopleX will develop the technology through simulation and public road testing both on motorways and in urban environments in the West Midlands. Highways England, INRIX, Ricardo, Siemens, Transport for West Midlands and WMG at the University of Warwick join the AutopleX consortium, which was announced as part of Innovate UK’s third round of Connected and Autonomous Vehicle Funding in March 2018.