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Accurate Navigation Without GPS

Circuit keeps up to 5.5-meter accuracy after 3 kilometers

2 min read
Photograph of the personal GPS boot created at the University of Utah.
Photo: Qingbo Guo

The Global Positioning System can locate you within 5 to 10 meters anywhere on Earth—as long as your receiver is in the line of sight of multiple satellites. Getting location information indoors is tricky. A team at the University of Utah has now put the solution underfoot: A suite of sensors and circuits mounted to a boot can determine position with an accuracy of about 5 meters, indoors or out, without GPS.

The navigation system, installed in a very hefty prototype boot, could help rescue workers navigate inside buildings, and show firefighters where their team members are. It might also be integrated with virtual or augmented-reality games. The Utah researchers presented their GPS-free navigation system on Tuesday at the International Solid-State Circuits Conference in San Francisco.

The Utah group’s navigation system is built on an inertial measurement unit, or IMU—a little black box containing a gyroscope, magnetometer, and accelerometer. High-end systems of this kind help airplane pilots navigate. Darrin Young, an electrical engineer at the University of Utah, wanted to make it possible to use an IMU in portable electronics. But readings from cheap versions of these sensors drift over time, and errors can accumulate rapidly. “If you’re sitting still, the reading should be zero,” says Young. But after 5 or 10 minutes sitting in a chair, the low-end IMU might think you have moved a few hundred feet away.

Left: Qingbo Guo walking outdoors with the system; Right: Labeled diagram of the boot.Photos: Qingbo Guo

Young asked graduate student Qingbo Guo to figure out a way to keep these sensors calibrated. Guo found the solution in biomechanics. During each step, the heel is anchored to the ground for about 100 milliseconds. Guo figured out how to measure this instant of stillness, and use that to correct for the false motion in drifting data from the IMU. “You reset the position calculation with every step, so you do not accumulate error,” says Young.

Guo designed a flexible MEMS pressure sensor to place under the insole of a boot with an IMU. He calculated that the system needed about 1,000 sensors to get accurate readings (and provide redundancy in case some sensors broke underfoot), built a custom circuit to combine data from the IMU and the pressure sensors, and designed the necessary algorithms. In the prototype, the custom circuit is on a printed circuit board mounted to the side of the boot. “We put it outside the boot for easy access and debugging,” says Guo. “But it could be inside the sole, and use Bluetooth.”

Map showing the trajectory of Qingbo Guo's wallk.Image: Qingbo Guo

Then he connected it all up with cables to a laptop in his backpack and started walking. To test the navigation system, Guo walked in Salt Lake City for about 3 kilometers with the navigational boot tracker, then compared data from the prototype with GPS data. After 10 walks around campus, the maximum error was about 5.5 meters. He also tested the system during a longer walk in San Francisco’s Golden Gate Park.

It doesn’t matter what kind of terrain—the system works. “The performance is comparable to GPS, but it works inside,” he says.

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Chinese Joint Venture Will Begin Mass-Producing an Autonomous Electric Car

With the Robo-01, Baidu and Chinese carmaker Geely aim for a fully self-driving car

4 min read
A black car sits against a white backdrop decorated with Chinese writing. The car’s doors are open, like a butterfly’s wings. Two charging stations are on the car’s left; two men stand on the right.

The Robo-01 autonomous electric car shows off its butterfly doors at a reveal to the media in Beijing, in June 2022.

Tingshu Wang/Reuters/Alamy

In October, a startup called Jidu Automotive, backed by Chinese AI giant Baidu and Chinese carmaker Geely, officially released an autonomous electric car, the Robo-01 Lunar Edition. In 2023, the car will go on sale.

At roughly US $55,000, the Robo-01 Lunar Edition is a limited edition, cobranded with China’s Lunar Exploration Project. It has two lidars, a 5-millimeter-range radar, 12 ultrasonic sensors, and 12 high-definition cameras. It is the first vehicle to offer on-board, AI-assisted voice recognition, with voice response speeds within 700 milliseconds, thanks to the Qualcomm Snapdragon 8295 chip.

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