Precision single-point positioning method for UAV aerial survey based on dynamic GPS

The conventional UAV aerial survey precision point positioning method mainly focuses on sensor node positioning, which has the problem of positioning error due to the influence of surface characteristics. Therefore, a precise point positioning method for UAV aerial survey based on dynamic GPS is designed. Registration of UAV aerial survey single point vision positioning remote sensing image, through geometric correction, image enhancement and other methods, highlights the image characteristics of UAV aerial survey single point, and avoids the problem of positioning error. The precise single point positioning model of UAV aerial survey is built based on dynamic GPS, and the single point position equation of UAV aerial survey is built by using inertial navigation parameter error equation and acceleration error equation to ensure the accuracy of single point positioning. Correct the single point positioning error of UAV aerial survey accuracy, take signal attenuation, polarization change, propagation delay and other issues into consideration, correct the single point positioning error of UAV aerial survey accuracy, and achieve the precise positioning of UAV single point. Through comparative experiments, it is verified that the positioning accuracy of this method is higher and can be applied to real life.

Authors

Institutions

Publication Details

Published
2025-05-28
DOI
https://doi.org/10.1117/12.3067786
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Precision single-point positioning method for UAV aerial survey based on dynamic GPS

Jianfei Song, Xiaoying Lv
Robotics and Sensor-Based Localization
article

Precision single-point positioning method for UAV aerial survey based on dynamic GPS

Jianfei Song, Xiaoying Lv
article en

Abstract

The conventional UAV aerial survey precision point positioning method mainly focuses on sensor node positioning, which has the problem of positioning error due to the influence of surface characteristics. Therefore, a precise point positioning method for UAV aerial survey based on dynamic GPS is designed. Registration of UAV aerial survey single point vision positioning remote sensing image, through geometric correction, image enhancement and other methods, highlights the image characteristics of UAV aerial survey single point, and avoids the problem of positioning error. The precise single point positioning model of UAV aerial survey is built based on dynamic GPS, and the single point position equation of UAV aerial survey is built by using inertial navigation parameter error equation and acceleration error equation to ensure the accuracy of single point positioning. Correct the single point positioning error of UAV aerial survey accuracy, take signal attenuation, polarization change, propagation delay and other issues into consideration, correct the single point positioning error of UAV aerial survey accuracy, and achieve the precise positioning of UAV single point. Through comparative experiments, it is verified that the positioning accuracy of this method is higher and can be applied to real life.

Russian State Geological Prospecting University (RU), Dalian University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 85%
Robotics and Sensor-Based Localization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Precision single-point positioning method for UAV aerial survey based on dynamic GPS — Jianfei Song, Xiaoying Lv · (2025) | TGRS Research Map | TGRS