A new way to automatically build road maps from aerial images
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“RoadTracer” system from MIT’s Computer Science and Artificial Intelligence Laboratory could reduce workload for developers of apps like Google Maps.
Source: mit.edu

“RoadTracer” system from MIT’s Computer Science and Artificial Intelligence Laboratory could reduce workload for developers of apps like Google Maps.
Source: mit.edu
Artificial Intelligence (AI) is the mantra of the current era. The phrase is intoned by technologists, academicians, journalists and venture capitalists alike. As with many phrases that cross over from technical academic fields into general circulation, there is significant misunderstanding accompanying the use of the phrase.
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Location and navigation using global positioning systems (GPS) is deeply embedded in our daily lives, and is particularly crucial to Uber’s services. To orchestrate quick, efficient pickups, our GPS technologies need to know the locations of matched riders and drivers, as well as provide navigation guidance from a driver’s current location to where the rider needs to be picked up, and then, to the rider’s chosen destination. For this process to work seamlessly, the location estimates for riders and drivers need to be as precise as possible.
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The pico.js library is a JavaScript implementation of the method described in 2013 by Markuš et al. in a technical report. The reference implementation is written in C and available on GitHub: https://github.com/nenadmarkus/pico.
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