A deep model was trained on historical crash data, road maps, satellite imagery, and GPS to enable high-resolution crash maps that could lead to safer roads.
Today's world is one big maze, connected by layers of concrete and asphalt that allow us to travel by car. Many of our road-related advancements — GPS allows us to fire fewer neurons thanks to mapping apps, cameras alert us to potentially costly scrapes and scratches, and electric autonomous cars have lower fuel costs — have not yet caught up with our safety measures. To safely get from point A to point B, we still rely on a steady diet of traffic signals, trust, and the steel that surrounds us.
Scientists from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Qatar Center for Artificial Intelligence collaborated to anticipate the uncertainty inherent in crashes.
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