Articles tagged with "navigation"
AI system slashes GPS errors almost 40 times in urban settings
Researchers at the University of Surrey have developed an AI system called Pose-Enhanced Geo-Localisation (PEnG) that dramatically improves location accuracy in urban environments where GPS signals are often unreliable. By combining satellite imagery with street-level images and using relative pose estimation to determine camera orientation, PEnG reduces localization errors from 734 meters to just 22 meters. The system operates using a simple monocular camera, common in vehicles, making it practical and accessible for real-world applications, especially in areas like tunnels or dense cities where GPS coverage is weak or unavailable. PEnG offers a GPS-independent navigation solution that could significantly enhance the reliability and resilience of autonomous vehicles, robotics, and other navigation-dependent industries such as logistics and aviation. The researchers emphasize that this approach not only improves everyday convenience but also addresses safety concerns linked to GPS outages or interference. Supported by the University of Surrey’s PhD Foundership Award, the team is working on a prototype for real-world testing and has made their research open
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