Chris Beall

Evaluating Global Geo-Alignment for Precision Learned Autonomous Vehicle Localization Using Aerial Data

Recently there has been growing interest in the use of aerial and satellite map data for autonomous vehicles, primarily due to its potential for significant cost reduction and enhanced scalability. Despite the advantages, aerial data also comes with challenges such as a sensor-modality gap and a vie