Singapore could possibly be the primary country on the planet to attain a universal transport service consisting entirely of autonomous cars.
That’s the view of Glen De Vos, chief technology officer at Delphi Corporation, a significant automotive supplier who’s working to launch just such a robotic taxi business here.
Delphi already has one autonomous automobile on the road and can roll out two more this month to gather more data because it prepares to supply an on-demand taxi service without taxi drivers.
Since August last yr, the corporate has been working with the Land Transport Authority on an autonomous taxi test. The aim of the project is to find out what is required on the infrastructure side – by way of road networks, data centers, etc. – to make robot cabins viable on this case.
If all goes based on plan, by 2020 it is best to find a way to summon an autonomous automobile using your smartphone to take you wherever you would like.
“We’re not doing this as a science experiment. We want to work with LTA to actually launch a commercial service,” says De Vos (above). “I would put Singapore at the very top of the list of cities that could implement this quickly.”
Delphi’s self-driving Audis are equipped with 26 cameras and sensors that continuously scan the world around them, but what really makes them work are usually not the electronic eyes.
They’re brains.
If Intel has its way, the brains will come out of its factories. The chipmaking giant’s microprocessors already power virtually all the things with a keyboard, and its presence is as ubiquitous on the road because it is within the office.
Like greater than 100 autonomous prototypes world wide, Delphi’s Audi is powered by Intel chips.
The Santa Clara-based company is constructing a kit that automakers can eventually plug into their products, potentially saving the auto industry the trouble of developing it by itself. Not to say research and development costs; Why spend billions to create something when you possibly can buy a ready-made solution and adapt it to your needs?
Although the race for autonomy is, in fact, only the start, there may be a potentially huge reward waiting on the finish line. Investment bank Goldman Sachs estimates that the autonomous automobile market could possibly be value $96 billion (S$135 billion) annually by 2025 and $290 billion by 2035.
Until then, it looks as if the cars themselves shall be the simple part. Intel says the autonomous vehicle will generate 4 terabytes of information per day — and also you thought your monthly cellphone plan with 6 GB of memory can be enough.
Understanding this digital tsunami would require a number of computing power, says Jack Weast (below), chief systems architect for Intel’s autonomous vehicles division. “We see this as a data challenge,” he says.
Not all of the computing power must be within the cars themselves, he says. When the 5G mobile network is launched here, data centers will ensure the correct operation of autonomous cars. “If you connect to the cloud, you can download high-resolution map information, for example,” Weast says. Thanks to this, cars won’t ever be confused by the sudden appearance of a brand new road.
Connected autonomous cars could also talk effectively, maintaining a relentless flow of digital conversations that may alert them to road hazards long before a human driver encounters them.
They could avoid traffic jams or drive in very close formation to cut back fuel consumption by as much as 15 percent by sharing wind resistance.
Intel’s Weast predicts an enormous drop in road traffic injuries or fatalities as autonomous cars grow to be the norm, with a corresponding drop in insurance costs. Older and really young people will gain mobility, and an enormous amount of land may be recovered from today’s parking lots, he says.
“Autonomous vehicles are going to be very, very valuable to society at large,” he says.
It’s unclear to what extent this may occur and the way quickly the driverless future envisioned by West and other engineers will grow to be a reality.
However, considering how much computing power shall be needed to perform this task, one thing seems certain: there may be a very good probability that whichever automaker leads the autonomous race, its cars shall be equipped with an Intel processor.
