Self-calibrated Navigation System Based on Fusion of Distance Measurement and Visual Odometry

Yiming Li, Jinwen Hu, Zhao Xu, Mingwei Lv, Jiancheng Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, a self-calibrated navigation system based on fusion of distance measurement and visual odometry (VO) is developed. The navigation system can locate the agent with low cumulative error in the GNSS-denied environment by using some randomly placed anchors. There are two stages in the system, calibrating and positioning. In the calibrating stage, the location of each anchor is estimated optimally. Meanwhile, a criterion is proposed. It can help judge whether current measurements are sufficient to estimate of the location of each anchor. In the positioning stage, the location of the agent is estimated based on fusing of VO and range measurements between the agent and anchors. The navigation system is validated via data sets and real-world experiments. The results show that the developed system can simultaneously estimate the location of each anchor and the drone accurately and stably.

Original languageEnglish
Title of host publicationProceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) - Volume I
EditorsYi Qu, Mancang Gu, Yifeng Niu, Wenxing Fu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages381-390
Number of pages10
ISBN (Print)9789819711062
DOIs
StatePublished - 2024
Event3rd International Conference on Autonomous Unmanned Systems, ICAUS 2023 - Nanjing, China
Duration: 9 Sep 202311 Sep 2023

Publication series

NameLecture Notes in Electrical Engineering
Volume1170
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference3rd International Conference on Autonomous Unmanned Systems, ICAUS 2023
Country/TerritoryChina
CityNanjing
Period9/09/2311/09/23

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