@inproceedings{876d5cd9850b47c892b3a5f313e6aa5c,
title = "UAV localisation under linear mapping for vision-based navigation",
abstract = "In the process of building vision based navigation systems, UAV self-localisation by image registration against a database is a challenging issue. The issue arises from the requirement to register a scene from an aerial image with a geo-referenced image. This is typically done by matching features across multiple regions in the aerial image in the presence of registration errors. A statistical approach is used here to incorporate all available information. Specifically, we derive a weighted least squares approach to provide the optimal affine transformation to match the scenes. The performance of the proposed algorithm is compared with existing approaches using simulated examples.",
author = "Xuezhi Wang and Zhenlu Jin and Quan Pan and Bill Moran",
note = "Publisher Copyright: {\textcopyright} 2016 ISIF.; 19th International Conference on Information Fusion, FUSION 2016 ; Conference date: 05-07-2016 Through 08-07-2016",
year = "2016",
month = aug,
day = "1",
language = "英语",
series = "FUSION 2016 - 19th International Conference on Information Fusion, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1511--1517",
booktitle = "FUSION 2016 - 19th International Conference on Information Fusion, Proceedings",
}