Deep learning makes visual terrain-relative navigation more practical. Without GPS, autonomous systems get lost easily. Now a new algorithm developed at Caltech allows autonomous systems to recognize where they are simply by looking at the terrain around them—and for the first time, the technology works regardless of seasonal changes to that terrain.
Details about the process were published on June 23 in the journal Science Robotics, published by the American Association for the Advancement of Science (AAAS).
Source: “New Algorithm Helps Autonomous Vehicles Find Themselves, Summer or Winter”, California Tech News
