@inproceedings{912fb871cbf3494d8451211c36a52ac9,
title = "Relative positioning technology of static target based on visual-inertial fusion",
abstract = "In this paper, the position of the target in the image is obtained by template matching, and then the feature points are tracked and extracted from the target image and the source image, and the initial value of the target depth is obtained by visual measurement. Then solve the nonlinear least squares problem based on visual constraints and inertia constraints to obtain the optimized target depth. Experiments show that the error of depth estimation is no more than 10% of the target distance.",
keywords = "Multi-sensor fusion, depth estimation, nonlinear optimization, target recognition, visual-inertial fusion",
author = "Yixiang Wang and Leilei Li and Lin Liang and Yifei Yang and Zhe Zhang",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2nd IEEE International Conference on Electronic Technology, Communication and Information, ICETCI 2022 ; Conference date: 27-05-2022 Through 29-05-2022",
year = "2022",
doi = "10.1109/ICETCI55101.2022.9832095",
language = "English",
series = "2022 IEEE 2nd International Conference on Electronic Technology, Communication and Information, ICETCI 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "124--128",
booktitle = "2022 IEEE 2nd International Conference on Electronic Technology, Communication and Information, ICETCI 2022",
address = "United States",
}