Researchers may have developed a way for self-driving cars to continue navigating at night (or on rainy days) by performing an AI analysis to identify traffic signs by their relative reflectiveness. Slashdot reader sciencehabit shares an article from Science:
Their approach requires autonomous cars to continuously capture images of their surroundings. Each image is evaluated by a machine learning algorithm…looking for a section of the image that is likely to contain a sign. It’s able to simultaneously evaluate multiple sections of the image — a departure from previous systems that considered parts of an image one by one. At this stage, it’s possible it will also detect irrelevant signs placed along roads. The section of the image flagged as a possible sign then passes through what’s known as a convolutional neural network [which] picks up on specific features like shapes, symbols, and numbers in the image to decide which type of sign it most likely depicts… In the real world, this should mean that an autonomous car can drive down the street and accurately pinpoint and decipher every single sign it passes.
Read more of this story at Slashdot.