Lincoln Laboratory enters licensing agreement to produce its ...MIT Lincoln Laboratory uses inherently stable subsurface features and their geolocation to locate a vehicle

Lincoln Laboratory enters licensing agreement to produce its localizing ground-penetrating radar
Commercial prototypes of the system will be available to the self-driving vehicle industry.

Localizing ground-penetrating radar (LGPR) developed at MIT Lincoln Laboratory uses inherently stable subsurface features and their geolocation to locate a vehicle, even in adverse weather conditions. Below the surface, an earlier map can be seen in gray on the left, while a current scan is shown in light blue under the vehicle, and the registered data is shown in blue and green behind the vehicle.

MIT has reached agreement with Geophysical Survey Systems, Inc. (GSSI) to develop commercial prototypes of a technology that helps autonomous vehicles navigate by using subsurface geology. Engineers at MIT Lincoln Laboratory, who developed localizing ground-penetrating radar (LGPR), have demonstrated that features in soil layers, rocks, and road bedding can be used to localize vehicles to centimeter-level accuracy. The LGPR has been used for lane keeping even when snow, fog, or dust obscures above ground features.

GSSI will build and sell the prototype LGPR systems. While developers of self-driving cars are likely the initial customers, companies providing equipment and services for trucking, construction, mining, and agriculture may also find interest in LGPR capabilities.

"This technology could significantly impact the self-driving vehicle industry," says Byron Stanley, the lead researcher on the LGPR program. "Most autonomous vehicles rely on optical systems that 'see' road surfaces and surrounding infrastructure to localize themselves. Optical systems work well in fair weather conditions, but it is challenging and risky for them to work when snow covers lane markings and road surfaces or fog obscures points of reference

The LGPR sensor uses high-frequency radar reflections of underground features to generate a baseline map of a road's subsurface. The idea is that whenever an LGPR vehicle drives along a road, the data can be used as a reference map. An LGPR vehicle on subsequent passes compares its current map against the reference map.The reference map can be correlated with the current map to create an estimate of the vehicle's location. This localization has been demonstrated to be accurate to within a few centimeters, in real-time and at highway speeds, even at night in snow storms.

During the 2017 Automated Vehicles Symposium held July 11-13 in San Francisco, Stanley and David Cist, vice president of R&D at GSSI, showcased the LGPR concept, long-term map stability, and capabilities in a poster session on July 11 and in a "deep dive" discussion session the next afternoon. The annual Automated Vehicles Symposium is the world's largest meeting dedicated to issues in vehicle autonomy. Leading researchers and developers of vehicle automation from industry, government, and academia address the technology innovations, public policy, and human factors affecting p

rogress toward safe vehicle automation.

HERE are several ways that LGPR complements most sensors guiding self-driving vehicles:

It is robust under conditions that pose difficulties for GPS, lidar, or camera sensors (e.g., in tunnels, canyons, snow, ice, fog, dust, dirt, lighting changes, and dynamic environments);

the independence of the LGPR to changes to and dynamics of the aboveground environment — where landmarks are torn down or obscured, road markings fade, and signs are moved — provides added assurance of localization; and

adding stable subsurface mapping reduces the need for continual modifications to high-resolution road maps.

Because of its simple design, the LGPR could be mass-produced for $300 or less. As a low-cost addition to sensor suites, LGPR will make autonomous vehicles safer and more capable.

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