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Volvo drives biggest UK trial of autonomous cars

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Volvo Cars is to begin the UK’s most ambitious autonomous driving trial in 2017 in order to speed up the introduction of technology that promises to reduce car accidents as well as free up congested roads.

The Swedish company, whose name has been synonymous with automotive safety ever since it invented the three point seat belt in 1959, is pioneering the development of autonomous driving (AD) systems globally as part of its commitment that no one will be seriously injured or killed in a new Volvo by the year 2020.

“Autonomous driving represents a leap forward in car safety,” says Håkan Samuelsson, president and chief executive. “The sooner AD cars are on the roads, the sooner lives will start being saved.”

Samuelsson will express his comments at a seminar sponsored by Volvo and Thatcham, the insurance industry’s research organisation, on May 3rd, entitled ‘A Future with Autonomous Driving Cars – Implications for the Insurance Industry’ at the America Conference Centre in London.

Volvo’s UK-based test will be called ‘Drive Me London’ and differentiate itself from other AD programmes by using real families driving AD cars on public roads.

Volvo will source its data from these everyday users and use it to develop AD cars which are suitable for real world driving conditions, rather than the more unrealistic conditions found on test tracks. Thatcham Research will be providing the technical data analysis and any professional test drivers needed as part of the trial.

Drive Me London will begin in early 2017 with a limited number of semi-autonomous cars, expanding in 2018 to include up to 100 fully-autonomous cars, making it the largest and most extensive AD testing programme on Britain’s streets. The introduction of AD cars promises to revolutionise Britain’s roads in four main areas – safety, congestion, pollution and time saving.

Independent research has revealed that AD has the potential to reduce the number of car accidents significantly, in some cases by up to 30 per cent. Up to 90 per cent of all accidents are presently caused by driver error or distraction, something that should largely disappear with AD cars.

“Vehicle manufacturers are predicting that highly autonomous vehicles, capable of allowing the driver to drop ‘out of the loop’ for certain sections of their journey, will be available from around 2021. Without doubt, crash frequency will also dramatically reduce. We’ve already seen this with the adoption of Autonomous Emergency Braking (AEB) on many new cars. Research in the US by NHTSA predicts that by 2035, as a result of autonomous and connected cars, crashes will be reduced by 80%. Additionally, if a crash unfortunately can’t be avoided, then the impact speed will also drop as a result of the system’s performance – reducing the severity of the crash,” says Peter Shaw, chief executive at Thatcham Research.

In terms of congestion, AD cars allow traffic to move more smoothly, reducing traffic jams and by extension cutting dangerous emissions and associated pollution. Lastly, reduced congestion saves drivers valuable time.

“There are multiple benefits to AD cars,” concludes Samuelsson. “That is why, globally, governments need to put legislation and infrastructure in place to allow AD cars onto the streets as soon as possible. The car industry cannot do it all by itself. We need governmental help.”

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ME and Africa Consumer tech spending to hit $149bn

Reaching $130bn this year, consumer spending on technology in the Middle East and Africa is expected to grow just 4% a year.

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Consumer spending on technology in the Middle East and Africa (MEA) is forecast to total $130.8 billion this year, a year-on-year increase of 4.1%. According to the latest Worldwide Semiannual Connected Consumer Spending Guide from International Data Corporation (IDC), consumer purchases of traditional and emerging technologies will remain strong over the 2019–2023 forecast period, increasing at a five-year compound annual growth rate (CAGR) of 3.5% to reach $149.4 billion in 2023.

86.3% of all consumer technology spending in 2019 will be on traditional technologies such as mobile phones, personal computing devices, and mobile telecom services. Mobile telecom services (voice and data) will account for 68.7% of this amount, followed by mobile phones which will account for 26.6%. Spending growth for traditional technologies will be relatively slow, with a CAGR of 2.4% for the 2019–2023 forecast period.

“Faster connectivity, combined with declining data service costs from telecom service providers and the need for end users to use telecom services for an increasing number of devices, will ensure that consumer spending on traditional technologies will continue to grow,” says Fouad Charakla, IDC’s senior research manager for client devices in the Middle East, Turkey, and Africa.

Emerging technologies, including AR/VR headsets, drones, on-demand services, robotic systems, smart home devices, and wearables, will deliver strong growth with a five-year CAGR of 10.2%. This growth will see emerging technologies account for 17.1% of overall consumer spending in 2023, up from 13.7% in 2019. Smart home devices and on-demand services will account for around 93% of consumer spending on emerging technologies by the end of the forecast period.

“The low penetration of smart home devices in the region, combined with growing efforts from market players to educate home users on the benefits and usage of these devices, will serve as an engine of growth for consumer spending on emerging technologies,” says Charakla. “A large portion of end users are already looking to invest in devices that will improve their productivity and quality of life, two key demands that smart home devices can be positioned to fulfil.”

On-demand services represent a new addition to IDC’s Worldwide Semiannual Connected Consumer Spending Guide. “On-demand services enable access to networks, marketplaces, content, and other resources in the form of subscription-based services and includes platforms such as Netflix, Hulu, and Spotify, among others,” says Charakla. “As connected consumers juggle multiple services across their devices, it is essential for technology providers to understand how the adoption of these various technologies and services will impact their customers’ experiences in the future.”

Communication and entertainment will be the two largest use case categories for consumer technology, representing more than 79% of all spending throughout the forecast. More than 70% of all communication spending will go toward traditional voice and messaging services in 2019. Entertainment spending will be dominated by watching or downloading TV, videos and movies, as well as listening to music and downloading and playing online games. The use cases that will see the fastest spending growth over the forecast period are augmented reality games (49.5% CAGR).

The Worldwide Semiannual Connected Consumer Spending Guide quantifies consumer spending for 22 technologies in ten categories across nine geographic regions. The guide also provides spending details for 23 consumer use cases. Unlike any other research in the industry, the Connected Consumer Spending Guide was designed to help business and IT decision makers to better understand the scope and direction of consumer investments in technology over the next five years.

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Could robots replace human tennis players?

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While steeped in tradition, tennis has embraced technology on multiple fronts: coaching, umpiring and fan experiences. Since the early 2000s, the Sony-owned Hawk-Eye system has been assisting tennis umpires in making close calls. At Wimbledon, IBM’s Watson AI analyses fan and player reactions in real-time video footage from matches to create highlight reels just minutes after the end of a match.

Meanwhile, at the ATP Finals in London, similar data analysis is being carried out by digital services and consulting firm Infosys.

GlobalData’s Verdict deputy editor Rob Scammell hears the future of tennis discussed at a recent panel discussion about the use of data analytics and technology in the game.

Scammel writes: “Infosys has been partnered with ATP for five years, providing features such as its cloud-based platform, which leverages artificial intelligence to analyse millions of data points to gain insights into the game.

“Players and coaches can also make use of the Infosys’ Players and Coaches Portal, allowing them to “slice and dice” matches on an iPad with 1,000 data analytics combinations. This is data crunching is vital according to Craig O’Shannessy, strategy analyst for the ATP World Tour and a coach for 20 years – including for the likes of Novak Djokovic. 

O’Shannessy says: “Video and data analytics is crucial for giving players an edge. It’s about finding out of 100 points, the 10 or 15 that matter the most, and explaining that these are the patterns of play that you want to repeat in these upcoming games to win those matches.”

However, although Chris Brauer, director of innovation at the Institute of Management Studies at Goldsmiths, University of London, asked whether the “inevitable conclusion” of technological innovations in tennis was removing humans from the game entirely. ATP chair umpire and manager Ali Nili suggested that while there could one day be robot players adjudicated by robot umpires, it would be an entirely different sport.

Nili told GlobalData: “At ATP, we’re most proud of our athletes. It’s our athletes which make the tennis exciting. It’s how fast they are, how strong they are being. As humanbeings, we compare them to us and we’re fascinated by the things that they’re able to do. They’re the number one attraction for anyone who comes in, watches tennis, and everything else is secondary, you know, all the data and everything else, because we try to make our athletes more appealing.”

Could robots replace human tennis players?

Raghavan Subramanian, associate vice president and head of Infosys Tennis Platform, says it’s a “very philosophical question” and that we can look to the precedent set by other ‘man vs machine’ face-offs.

“In chess, we had [Garry] Kasparov play against the computer. So I think the natural first transition will not be two robots playing against each other, but one robot, possibly playing against the best player today. That’s the first possible bridge before two robots play.”

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