A new way to automatically build road maps from aerial images
17 April 2018
To create complete road maps companies like Google often have to have employees take existing aerial images with incomplete information and manually fill in the gaps.

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Images courtesy of the researchers.

Map apps may have changed our world, but they still haven’t mapped all of it yet. Specifically, mapping roads can be difficult and tedious: Even after taking aerial images, companies still have to spend many hours manually tracing out roads. As a result, even companies like Google haven’t yet gotten around to mapping the vast majority of the more than 20 million miles of roads across the globe.

Gaps in maps are a problem, particularly for systems being developed for self-driving cars. To address the issue, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have created RoadTracer, an automated method to build road maps that’s 45 percent more accurate than existing approaches.

Full story at MIT News: http://news.mit.edu/2018/new-way-to-automatically-build-road-maps-with-a...