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Imagine that instead of adding a motor to a bicycle, parts of the bicycle are designed to function as the motor.

In this case the wheel rim contains the motor magnets and the frame houses the inductive coils. The inductive coils use energy from the battery (hidden in the frame downtube) to repel the magnets on the rim to make the wheel spin.

Lightweight calls this “Maglev Transrapid technology” and they claim that this Velocité eBike can go up to 100 kph (62 mph) with its 500 watts of power! They are currently limiting it to 45 kph (28 mph) to fall with in the limits of a speed pedelec.

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Circa 2017


Researchers are looking at advanced materials for roads and pavements that could generate electricity from passing traffic.

Engineers from Lancaster University are working on such as ‘piezolectric’ ceramics that when embedded in road surfaces would be able to harvest and convert vehicle vibration into .

The research project, led by Professor Mohamed Saafi, will design and optimise energy recovery of around one to two Megawatts per kilometre under ‘normal’ volumes—which is around 2,000 to 3,000 cars an hour.

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Circa 2015


I’m sure many of you have experienced that sinking feeling when you’re running out to your car to drive to work only to discover a flat tire. The cause: usually a nail your drove over the night before. It’s 2015, tires shouldn’t suffer punctures anymore, right? Well, they may not for much longer if this prototype tire from Japan makes it to mass production.

The tire is called Coreseal and it has been developed by Japanese company Sumitomo Rubber Industries Ltd. It looks like any other tire fitted on vehicles today, but it has one big advantage. If you drive over a nail and cause a puncture, the tire won’t deflate. In fact, it will repair itself and you’ll likely never know it happened.

sumitomo_tire_03

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While studying the chemical reactions that occur in the flow of gases around a vehicle moving at hypersonic speeds, researchers at the University of Illinois used a less-is-more method to gain greater understanding of the role of chemical reactions in modifying unsteady flows that occur in the hypersonic flow around a double-wedge shape.

“We reduced the pressure by a factor of eight, which is something experimentalists couldn’t do,” said Deborah Levin, researcher in the Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign. “In an actual chamber, they tried to reduce the pressure but couldn’t reduce it that much because the apparatuses are designed to operate within a certain region. They couldn’t operate it if the pressure was too low. When we reduced the pressure in the simulation, we found that the instabilities in the calmed down. We still had a lot of the kind of vortical structure—separation bubbles and swirls—they were still there. But the data were more tractable, more understandable in terms of their time variation.”

Levin conducted the research along with her, then, doctoral student Ozgur Tumuklu, and Vassilis Theofilis from the University of Liverpool.

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The laser sensors currently used to detect 3D objects in the paths of autonomous cars are bulky, ugly, expensive, energy-inefficient – and highly accurate.

These Light Detection and Ranging (LiDAR) sensors are affixed to cars’ roofs, where they increase wind drag, a particular disadvantage for . They can add around $10,000 to a car’s cost. But despite their drawbacks, most experts have considered LiDAR sensors the only plausible way for to safely perceive pedestrians, cars and other hazards on the road.

Now, Cornell researchers have discovered that a simpler method, using two inexpensive cameras on either side of the windshield, can detect objects with nearly LiDAR’s accuracy and at a fraction of the cost. The researchers found that analyzing the captured images from a bird’s-eye view rather than the more traditional frontal view more than tripled their accuracy, making a viable and low-cost alternative to LiDAR.

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Named Jiageng-1, it was jointly developed with Xiamen University. https:// CoR1p2MLDw …

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Sandia National Laboratories (SNL) has announced that it has set up an academic research coalition to help create artificially intelligent aerospace systems to control hypersonic missiles and other complicated vehicles in challenging environments. Called Autonomy New Mexico (NM), the organization consists of numerous US universities and aims at making hypersonic craft capable of autonomously controlling their own flight.

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At the ‘Tesla Autonomy Day’ today, Tesla unveiled all the details about its new Full Self-Driving computer, which CEO Elon Musk claims is ‘objectively the best chip in the world’.

The automaker has been talking about this new computer for years now.

Earlier this month, Tesla announced that the new Full Self-Driving (FSD) computer, previously known as Autopilot Hardware 3.0, is now in production.

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