AI RESEARCH
Efficient Cross-View Localization in 6G Space-Air-Ground Integrated Network
arXiv CS.AI
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ArXi:2603.11398v1 Announce Type: cross Recently, visual localization has become an important supplement to improve localization reliability, and cross-view approaches can greatly enhance coverage and adaptability. Meanwhile, future 6G will enable a globally covered mobile communication system, with a space-air-ground integrated network (SAGIN) serving as key ing architecture. Inspired by this, we explore an integration of cross-view localization (CVL) with 6G SAGIN, thereby enhancing its performance in latency, energy consumption, and privacy protection.