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Monday, March 16, 2015

An Autonomous Car Is Going Cross-Country for the First Time

As reported by WiredLots of people decide, at one point or another, to drive across the US. College kids. Beat poets. Truckers. In American folklore, it doesn’t get much more romantic than cruising down the highway, learning about life (or, you know, hauling shipping pallets). Now that trip is being taken on by a new kind of driver, one that won’t appreciate natural beauty or the (temporary) joy that comes from a gas station chili dog: a robot.

On March 22, an autonomous car will set out from the Golden Gate Bridge toward New York for a 3,500-mile drive that, if all goes according to plan, will push robo-cars much closer to reality. Audi’s taken its self-driving car from Silicon Valley to Las Vegas, Google’s racked up more than 700,000 autonomous miles, and Volvo’s preparing to put regular people in its robot-controlled vehicles. But this will be one of the most ambitious tests yet for a technology that promises to change just about everything, and it’s being done not by Google or Audi or Nissan, but by a company many people have never heard of: Delphi.

“It’s time to put our vehicle to the ultimate test by broadening the range of driving conditions,” says Delphi CTO Jeff Owens.

Delphi doesn’t build cars; it builds the stuff that goes into cars. It’s a key supplier to the auto industry, and has been for almost as long as there’s been an auto industry. It’s got a solid record of innovation, too. It built the first electric starter in 1911, the first in-dash car radio in 1936, and the first integrated radio-navi system in 1994.

Now it’s built a self-driving car, based on a 2014 Audi SQ5 (chosen simply because it’s cool. No, really.). The car looks like any other SQ5 (but for the stickers), but it’s packed with sensors and computers Delphi developed to replace humans: A camera in the windshield looks for lane lines, road signs, and traffic lights. Delphi installed a midrange radar, with a range of about 80 meters, on each corner. There’s another at the front and a sixth on the rear. That’s in addition to the long-range radars on the front and back, which look 180 meters ahead and behind.

This isn’t Delphi’s bid to start selling vehicles directly to consumers. It’s in the business of developing things automakers don’t want to (or can’t) develop themselves, and the rise of autonomous driving is a fertile field of opportunities. This market, including active safety features (which do things like keep you in your lane, adjust your speed on the highway, and brake before you hit that cyclist you didn’t see) is growing 35 percent every year. It made Delphi $1.4 billion in 2014, a number the company wants to grow by 50 percent year over year.

Building your own autonomous car is a good way to develop the hardware (radar and LIDaR) and software (the algorithms that make driving decisions) automakers will need. “What we expect to do is be able to create better sensors and more sensors, and then the software algorithms as well, which the [automakers] will need as they take more steps along that journey to automated driving,” says Owens.

So why the road trip? It’s about collecting data. Delphi says it’s covered hundreds of miles in the past year or so around Silicon Valley and Las Vegas, both on the highway and on city streets. Going from California to New York provides terabytes of information on how the sensor suite detects the world around it, and how the car drives. With that data, it can continue to improve its technology, tweaking software and hardware alike to make the car’s driving more reliable.

Delphi plans to make the trip in eight days, driving at most eight hours a day. The leisurely pace will keep everyone fresh, Owens says. Besides, the car will not be breaking the speed limit—just because Google does it doesn’t make it okay to speed—so some extra time is necessary. Sticking to a southern route and driving while the sun is up means better weather and conditions for the car’s sensors. When it’s not on the highway, one of the humans inside will take the wheel.

As far as skill goes, Owens says, “virtually anything you would do on the highway, the car will be capable of doing as well.” That means maintaining a steady speed and safe distance from other cars, and passing slower vehicles. If it gets cut off or a couch falls off a pickup truck right into its path, the car will do the smart thing: brake like hell, and move to the left or right if it’s safe.

If all goes well, the rolling catalog of automotive expertise will arrive in the Big Apple on the eve of the New York auto show, showing the public, and automakers, what the future holds.

Second Galileo FOC Satellite Reaches Corrected Orbit

As reported by Inside GNSS: The European Space Agency (ESA) announced March 13, 2015 that second Galileo full operational capability (FOC) satellite launched into the wrong orbit last August has now entered its corrected target orbit, which will allow detailed testing to assess the performance of its navigation payload.

Launched with another FOC spacecraft, its initial elongated orbit saw it travelling as high as 25,900 kilometers above Earth and down to a low point of 13,713 kilometers, confusing its onboard Earth sensor used to point satellite’s navigation antennas toward the ground.

A recovery plan was devised between ESA’s Galileo team, flight dynamics specialists at ESA’s ESOC operations center and France’s CNES space agency, as well as satellite operator SpaceOpal and satellite manufacturer OHB.

This involved gradually raising the lowest point of the satellites’ orbits more than 3,500 kilometer while also making them more circular.

The second FOC satellite — and fifth operational Galileo spacecraft, counting four in-orbit validation (IOV) — entered its corrected orbit at the end of November 2014. Both its navigation and search and rescue payloads were switched on the following month to begin testing.

Now the sixth satellite has reached the same orbit, too.

This latest salvage operation began in mid-January and concluded six weeks later, with some 14 separate maneuvers performed in total.

Its corrected position is effectively a mirror image of the fifth satellite’s, placing the pair on opposite sides of the planet. The exposure of the two to the harmful Van Allen Belt radiation has been greatly reduced, helping to ensure future reliability.


Significantly, the corrected orbit means they will overfly the same location on the ground every 20 days. This compares with a standard Galileo repeat pattern of every 10 days, helping to synchronize their ground tracks with the rest of the constellation.

The test results from Galileo 5 proved positive, with the same test campaign for the sixth satellite due to begin shortly, overseen by ESA’s Redu centre in Belgium. A 20 meter­­–diameter antenna will study the strength and shape of the navigation signals at high resolution.

“I am very proud of what our teams at ESA and industry have achieved,” says Marco Falcone, head of Galileo system office. “Our intention was to recover this mission from the very early days after the wrong orbit injection. This is what we are made for at ESA.”

The decision whether to use the two satellites for navigation and search-and-rescue purposes will be ultimately taken by the European Commission, as the system owner, based on the in-orbit test results and the system’s ability to provide navigation data from the improved orbits.

The next pair of satellites is due for launch on March 27.

Google/Titan Solar-Drone Internet Tests are About to Take Off

As reported by ITWorld: Google’s ambitious plans to provide Internet access to remote areas via solar-powered drones are getting ready to take off.

Titan Aerospace, the drone-maker acquired last year by Google to help realize the project, recently applied for and received two licenses from the U.S. Federal Communications Commission to run tests over the next six months.

The licenses, which are valid from March 8 until September 5, don’t give away much because Google has asked the FCC to keep many of the details confidential for commercial reasons, but they reveal the tests will take place inside a 1,345 square kilometer (520 square mile) area to the east of Albuquerque. The area includes the town of Moriarty, where Titan Aerospace is headquartered and conducts its research and development work.

The drone experiments are one of two projects at Google to deliver Internet from the skies.

The other, called Project Loon, involves the use of high-altitude balloons and is already well underway.

Speaking at the Mobile World Congress expo in Barcelona earlier this month, Google’s Sundar Pichai said Project Loon balloons were now successfully staying aloft for as long as six months. Google is working with Vodafone in New Zealand, Telstra in Australia and Telefonica in Latin America to deliver Internet over LTE networks to handsets on the ground.

The drone tests, called “Project Titan,” are envisaged to work alongside the balloons to deliver connectivity to areas that need additional capacity, such as those hit by a natural disaster.

In Barcelona, Pichai said the Titan aircraft would be taking to the skies in the next few months.
Google acquired Titan Aerospace in April 2014 for an undisclosed amount.

While much interest has been focused on its Internet experiments, its aircraft have other possible uses. In dealings with the FCC, Titan describes itself as specializing in “developing solar and electric unmanned aerial systems for a variety of uses (e.g., broadband access in remote areas, environmental monitoring).” In previous communications with the Federal Aviation Administration, prior to its acquisition by Google, it said its aircraft could, in addition to telecoms, provide “surveillance services to public, private and government organizations.”

Saturday, March 14, 2015

Mechanical Engineer 3D Prints a Working 5-Speed Transmission

transmission1As reported by 3DPrintWho says that you can’t make anything useful on a desktop 3D printer? Sure, there are plenty of designs that you can find on 3D printing repository websites which make you question the motive of the designers — but at the same time, there are engineers and designers creating things that make you just stop and say, “WOW!”

One of these latter instances comes in the form of a 3D printed 
5-speed transmission for a Toyota 22RE engine, created by a mechanical engineer named Eric Harrell of Santa Cruz, California. Not only does it look legitimate, but it also is completely functional.

You may recall a story that we did back in January about a 
3D printed Toyota Engine. It was also designed by Harrell, after he completely reverse engineered a real Toyota 22RE engine. It received such a great reception from both Thingiverse users and the national media, that Harrell decided to take his creation one step further, providing this latest 3D printed transmission to complement the engine.

The two actually can be combined to create the ultimate piece of 3D printed machinery.

“I made the transmission due to the the success of my first upload, the 4 cylinder Toyota engine,” Harrell tells 3DPrint.com.  “The overall number of people that were interested was overwhelming.  I never thought that many people would be interested in it, yet actually print and build it, due to the shear complexity and print time involved. So far 8 people have made the engine and many more are in the process.”
transmission1
In all, it will take about 48 hours of print time to print out all of the individual pieces needed to assemble the transmission. Once the pieces have all been printed, they will need to be assembled using the diagrams that Harrell provides. He admits that it’s not an easy task to put the transmission together once the parts have been printed, but welcomes questions from anyone who has difficulty doing so.
Transmission and engine mated together.
Transmission and engine mated together.
“If one was to build either my transmission or engine, they would have a pretty good idea of how to put an actual engine together since these are modeled after real parts,” Harrell tells us. “Which is great, because most people that are interested in 3D printing would never get the opportunity to actually rebuild an engine or transmission.”
transmission4
While the majority of the transmission is 3D printed, there are some smaller parts which can not be printed on a desktop 3D printer, such as the 3mm rod, (18) 623zz bearings, (20) 3mm washers, and a few other small odds and ends like screws and bolts. At the same time, Harrell doesn’t ensure that all the parts will be ready to go off of the printer. Depending on the 3D printer used, some of them may need to be scaled up or down in order to fit together properly. Rather than scaling the parts, he also suggests that you could simply file them down where needed.
“The transmission works exactly like most manual transmissions found in any car or truck,” explained Harrell.  “However, I can barely explain how it works. It’s fairly hard to grasp unless you assemble one or see an animation of one opened up.”
Regardless of the time required for printing and assembly, this has to be one of the most incredible designs that we have come across yet on Thingiverse.  Most incredibly, Harrell tells us that it could absolutely be used in a real vehicle, since it is a scaled down version of the real thing.
What do you think about this incredible 3D printed Toyota transmission? Have you, or will you be 3D printing your own? Discuss in the 3D Printed Toyota Transmission forum thread on 3DPB.com. Check out the video below of the 3D printed transmission in action. 




Friday, March 13, 2015

A Map of all the Underwater Cables that Connect the Internet

As reported by the Vox: Cables lying on the seafloor bring the internet to the world. They transmit 99 percent of international data, make transoceanic communication possible in an instant, and serve as a loose proxy for the international trade that connects advanced economies.

Their importance and proliferation inspired Telegeography to make this vintage-inspired map of the cables that connect the internet. It depicts the 299 cables that are active, under construction, or will be funded by the end of this year.

In addition to seeing the cables, you'll find information about "latency" at the bottom of the map (how long it takes for information to transmit) and "lit capacity" in the corners (which shows how much traffic a system can send, usually measured in terabytes). You can browse a full zoomable version here (or a more modern version here).

The cables are so widely used, as opposed to satellite transmission, because they're so reliable and fast: with high speeds and backup routes available, they rarely fail. And that means they've become a key part of the global economy and the way the world connects.

Take, for example, the below map, which lets you slide between a 1912 map of trade routes and Telegeography's map of submarine cables today. The economic interdependence has remained, but the methods and meaning have changed:
The submarine cable map shows economic connections in less-developed countries as well. Cables between South America and Africa, for example, are much more scarce than trans-Atlantic and trans-Pacific routes:
Connections in the South Atlantic
Connections in the South Atlantic are scarce. (Telegeography)

Though cables to developing countries are expanding, they have a lot of work to do before they catch up. And Antarctica is left out completely (scientists down there get their internet from satellites).

The analogy between submarine cables and historic trade routes has a lot of caveats: trade routes were determined by geography as well as economic interests, and economic incentives were a lot different then than they are today. It would also be a mistake to overlook physical goods in favor of the internet (just look at those giant container ships). But both then and now, paths across the ocean require investment, trading partners on both sides, and a willingness to take risks. Sailors took the gamble in the past, and tech companies are taking it now.

Submarine cables get big investments from companies looking to explore their own modern trade routes
Submarine cables in Asia.
Submarine cables in Asia. (TeleGeography)

These cables carry information for the entire internet, including both corporate and consumer interests. That's why Google invested $300 million in a trans-Pacific cable system consortium to move data, Facebook put money into an Asian cable system consortium, and the finance industry invests just as much to shave a few milliseconds off trade times.

Other consortia regularly lay cables to transmit the consumer internet. Each group's control of a submarine cable is an advantage in the information exchange between countries.


Submarine cables are a 150-year-old idea with new potency
The process for laying submarine cables hasn't changed much in 150 years — a ship traverses the ocean, slowly unspooling cable that sinks to the ocean floor. The SS Great Eastern laid the first continually successful trans-Atlantic cable in 1866, which was used to transmit telegraphs. Later cables (starting in 1956) carried telephone signals.
A submarine cable.
Modern cables are surprisingly thin, considering how long they are and how deep they sink. Each is usually about 3 inches across. They're actually thicker in more shallow areas, where they're often buried to protect against contact with fishing boats, marine beds, or other objects. At the deepest point in the Japan Trench, cables are submerged under water 8,000 meters deep — which means submarine cables can go as deep as Mount Everest is high.

The optical fibers that actually carry the information are bundled within the larger shell of the cable:
A diagram of a submarine cable.
A diagram of a submarine cable. (Wikimedia Commons)
The components include:
  1. Polyethylene
  2. Mylar tape
  3. Stranded metal (steel) wires
  4. Aluminum water barrier
  5. Polycarbonate
  6. Copper or aluminum tube
  7. Petroleum jelly (this helps protect the cables from the water)
  8. Optical fibers
These cables move the videos, trades, gifs, and articles that bring the internet around the world in a matter of milliseconds. And that's the type of advantage any trader — digital or analog — could appreciate.

Frozen Lake Drag Race in Norway: Tesla AWD vs. Powerful Snowmobile (Video)

As reported by Tree Hugger.com: Drag-racing an all-wheel drive Tesla against a powerful snowmobile on a frozen lake in Norway might not be the most common of situations - how often are you going to do that? - but it's a fun test.

A Norwegian website did exactly that, pitting the Tesla P85D against a Lynx Boondocker 800cc (I think it's this one), with about 160hp and described as having "surreal" acceleration. Basically, it's a guy sitting on an engine, like a motorcycle, except made to have maximum traction on snow and ice, weighting only 230 kilos vs the 2,108 kilos of the Tesla, giving the snowmobile a better power-to-weight ratio.

Also note that the Tesla didn't have chains or studded tires, as Elon Musk points out:

"The drag race takes place on the ice rink at Tisleia in Gol , on a plowed strip of water. A thin layer of snow covers the ice." Who won? Find out here:

This is another example of why electric cars have the potential to be better than gasoline ones.

Electric motors react instantaneously, have flat torque curves, and can be monitored very precisely at all times. This means that a car's on-board computer can manage traction better than with a gasoline car, with its lag and mechanical links between engine and wheels. This is especially true with an all-wheel drive EV like the new Tesla P85D (all the "D" models are "dual motors", thus all-wheel drive). Each wheel only gets the exact amount of torque that it can handle without slipping, maximizing safety/performance in slippery conditions.

GPS and Snow Depth: When Mother Nature Got Stingy, this Ski Area Got Creative

Groomer and snow maker JP Silva utilizes GPS technology to measure snow depth while working through the night at Diamond Peak Ski Resort near Incline Village on March 6, 2015.  (Photo: Jason Bean/RGJ)
As reported by RGJ:After more than five years grooming runs and making snow at Diamond Peak Ski Resort it's obvious JP Silva has an innate feel for the terrain.

He can navigate the snowcat with ease even during a casual conversation with a rider, operating stick controls and monitoring screens and gauges to keep the diesel powered, roughly eight-ton vehicle level and grooming a smooth, corduroy pattern into the snow.

To hear Silva describe it he's got a near-spiritual connection to the mountain when he's operating the snowcat during one of his overnight shifts.

"It's like my Zen place," Silva, 32, said during a recent shift. "I'm out here practicing in my garden."

But even Silva's close relationship with the terrain isn't enough to effectively manage the snow at Diamond Peak which, like much of the Sierra Nevada, has been ravaged by a four-year drought that's shown no sign of abating. In fact, scientific evidence suggests climate change will contribute to even sparser snow conditions in the future.

That's why Diamond Peak is turning to satellite technology to help Silva and the other groomers and snowmakers at the ski area maximize the snow they get from Mother Nature and the stuff they make themselves.

It's the first ski area in North America to install SNOWsat technology on the terrain, in snowcats and in resort headquarters to actively manage snow depth as the groomers are running.

"It is like a video game," Silva said. "If I need a four-degree pitch I can instantly level and move the snow just right to get a four-degree pitch."

The system integrates satellites, software, wireless communication and mapping technology to give grooomers like Silva and others at Diamond Peak a live look at snow depth anywhere on the mountain. It also includes software for managing the fleet of snowcats by tracking location, idle time and other statistics.

But when it comes to managing ski conditions during an era of low snow it's the snow depth data that's critical to operators.
Grooming Supervisor Russ Mitchell, in cab, talks with fellow groomer JP Silva while working through the night at Diamond
Peak Ski Resort near Incline Village on March 6, 2015. (Photo: Jason Bean/RGJ)

"There are always pockets that accumulate snow," said John Glockhamer, marketing director for PistenBully, the company that makes the snowcats used at Diamond Peak and the SNOWsat technology. It's North American headquarters are in Reno.

"You may have a puddle of eight-feet of snow and 30 yards up on the ridge you have three inches," Glockhamer said.

The SNOWsat helps by measuring snow depth and displaying it on monitors where snowcat operators and resort managers can see it. It's a high tech version of the previous measuring system, which involved ski patrollers working throughout the day to use sticks to measure and record snow data.

It works by using a computerized, three dimensional map of the mountain without snow as a baseline. Then sensors mounted on snowcats allow satellites and a base on the ground to pinpoint the location of each vehicle that's outfitted with the technology.

Grooming Supervisor Russ Mitchell shows off the tiller on his snowcat while working at
Diamond Peak Ski Resort near Incline Village on March 6, 2015. 
(Photo: Jason Bean/RGJ)
By measuring how far the snowcat is above bare ground the system can tell operators the snow depth with an accuracy of less than two inches.

Glockhamer said previous attempts to use technology to measure snow depth were often sonar-based. But the inconsistency of snow within the snowpack undermined the usefulness of that technology, which sends out pulses of sound and reads the echo to determine distance. Layers of ice and other inconsistencies in the snow could lead to inaccurate readings, Glockhamer said.

Satellite technology also had problems, he said. The big one is that most satellite location systems only track objects with an accuracy of a couple feet or meters.

When it comes to maintain snow conditions for resort skiing, "if you are accurate within two feet that doesn't mean anything," he said. "Especially this year when there is no snow, you need to know right down to inches."

By combining the ground-based unit and computer model of the mountain with the satellites SNOWsat improves three-dimensional location accuracy enough to be useful to groomers, Glockhamer said.

It's already in use in more than 100 locations in Europe, he said. And there's an expectation more North American ski areas will try SNOWsat or something like it, especially given how susceptible the winter resort industry is to disruption from climate change.

A spokeswoman for Diamond Peak, which is operated by the Incline Village General Improvement District, said the system cost about $100,000. The snow depth technology is on two of Diamond Peak's five snowcats. The fleet management system is on all five.


A groomer stands in front of his snowcat at
Diamond Peak Ski Resort near Incline
Village on March 6, 2015. 
(Photo: Jason Bean/RGJ)
Brad Wilson, general manager of Diamond Peak, said the technology allows workers to better anticipate thin spots in order to prevent them before they turn to bare spots and ruin a run. That's especially critical in the Sierra Nevada where springtime sunshine can make a bare spot grow exponentially in a matter of hours.

"You don't want to wait until you see a thin spot," Wilson said. "The last thing you want to do is have a thin spot open up, it just absorbs heat."


That's not much of a problem when the Sierra Nevada is having a traditional, at least for the 20th century, winter with a massive snowpack. But when conditions are thin, as they have been in recent years, better snow management is needed to extend the number of weeks and days skiers can play on the slopes.

"If you have a 12-foot base you could make a lot of mistakes and not have to worry about it," Wilson said. "When you are dealing with one, two, three, four-foot bases it makes a huge difference."