Could shrinking a key component help make autonomous cars affordable?

Could shrinking a key component help make autonomous cars affordable?
A new chip-based navigation technology could make autonomous cars economically viable. Credit: ScienceSource/Andrzej Wojcicki

Engineers and business leaders have been working on autonomous cars for years, but there's one big obstacle to making them cheap enough to become commonplace: They've needed a way to cut the cost of lidar, the technology that enables robotic navigation systems to spot and avoid pedestrians and other hazards along the roadway by bouncing light waves off these potential obstacles.

Today's lidars use complex mechanical parts to send the flashlight-sized infrared lasers spinning around like the old-fashioned, bubblegum lights atop police cars—at a cost of $8,000 to $30,000.

But now a team led by electrical engineer Jelena Vuckovic is working on shrinking the mechanical and electronic components in a rooftop down to a single silicon chip that she thinks could be mass produced for as little as a few hundred dollars.

The project grows out of years of research by Vuckovic's lab to find a practical way to take advantage of a simple fact: Much like sunlight shines through glass, silicon is transparent to the infrared laser light used by lidar (short for light detection and ranging).

In a study published in Nature Photonics, the researchers describe how they structured the silicon in a way that used its infrared transparency to control, focus and harness the power of photons, the quirky particles that constitute light beams.

The team used a process called inverse design that Vuckovic's lab has pioneered over the past decade. Inverse design relies on a powerful algorithm that drafts a blueprint for the actual photonic circuits that perform specific functions—in this case, shooting a laser beam out ahead of a car to locate objects in the road and routing the reflected light back to a detector. Based on the delay between when the pulse is sent forward and when the beam reflects back to the detector, lidars measure the distance between car and objects.

It took Vuckovic's team two years to create the circuit layout for the lidar-on-a-chip prototype they built in the Stanford nanofabrication facility. Postdoctoral scholar Ki Youl Yang and Ph.D. student Jinhie Skarda played key roles in that process, with crucial theoretical insights from City University of New York physicist Andrea Alù and CUNY postdoctoral scholar Michele Cotrufo.

Building this range-finding mechanism on a chip is just the first—though essential—step toward creating inexpensive lidars. The researchers are now working on the next milestone, ensuring that the can sweep in a circle without using expensive mechanical parts. Vuckovic estimates her lab is about three years away from building a prototype that would be ready for a road test.

"We are on a trajectory to build a lidar-on-a-chip that is cheap enough to help create a for autonomous cars," Vuckovic said.


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More information: Ki Youl Yang et al, Inverse-designed non-reciprocal pulse router for chip-based LiDAR, Nature Photonics (2020). DOI: 10.1038/s41566-020-0606-0
Journal information: Nature Photonics

Citation: Could shrinking a key component help make autonomous cars affordable? (2020, April 16) retrieved 27 May 2020 from https://phys.org/news/2020-04-key-component-autonomous-cars.html
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