@inproceedings{934a149bc32f4019835c57fef65fcb4f,
title = "VINS-ACI: A Visual-Inertial Navigation System Adaptive to Complex Illumination by Feature Quality",
abstract = "The research proposes VINS-ACI, a visual-inertial navigation algorithm to guarantee proper operation of a carrier in complex lighting environment where the system may not work due to poor quality and quantity of features. There are two innovation in the proposed localization algorithm. Firstly, gamma correction is used to adjust the image gray level under different lighting conditions to improve the feature quality. Secondly, we suppress the influence of poor quality features on the location results by adding nonlinear weights of features and images. In addition, the system is inspected on both the public datasets and the actual data under different illumination. Experiment results prove that VINS-ACI can serve as a practical approach of navigation in complex lighting environment, and improve the reliability and accuracy of positioning.",
keywords = "Gamma correction, Line feature, Nonlinear weight, Visual-inertial navigation",
author = "Zhao, \{Yi Lin\} and Long Zhao",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Guidance, Navigation and Control, ICGNC 2022 ; Conference date: 05-08-2022 Through 07-08-2022",
year = "2023",
doi = "10.1007/978-981-19-6613-2\_123",
language = "英语",
isbn = "9789811966125",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "1237--1247",
editor = "Liang Yan and Haibin Duan and Yimin Deng and Liang Yan",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control",
address = "德国",
}