NeRFMatching for Vehicle Localization: Cross-View Matching Through Domain Adaptation With NeRF Representations

Cross-view matching technique for aerial and terrestrial images provides essential global pose constraints for terrestrial vehicle systems, aiding in the reduction of trajectory drift over long distances and extended periods. Existing research primarily focuses on enhancing the effectiveness of cros...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Shengjun Tang, Xiping Xie, Yusong Li, Zhihan Lv, Renzhong Guo, Weixi Wang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2025-01-01
Sarja:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Aiheet:	Cross-view images image matching neural radiance fields (NeRFs) structure from motion (SfM) visual localization
Linkit:	https://ieeexplore.ieee.org/document/11130429/
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