Visual information assisted UAV positioning using priori remote-sensing information

Liu, Xijia; Tao, Xiaoming; Duan, Yiping; Ge, Ning

doi:10.1007/s11042-017-5039-5

Cited by 13 publications

(11 citation statements)

References 26 publications

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“…Our proposed approach falls into this category. Methods with similar auxiliary equipment include [10,33,47,68], which will be discussed and compared with our method in Section 7 (Related Work).…”

Section: Defenses Against Gps Attacksmentioning

confidence: 99%

See 1 more Smart Citation

DeepSIM: GPS Spoofing Detection on UAVs using Satellite Imagery Matching

Xue

Niu

Hong

et al. 2020

Annual Computer Security Applications Conference

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Section: Defenses Against Gps Attacksmentioning

confidence: 99%

“…Recently, with the remarkable progress of Computer Vision and Artificial Intelligence, some researchers have considered using vision-based techniques as assistance to detect GPS spoofing attacks. Such out-of-band methods have already been proved effective and successful [10,33,47,68].…”

Section: Related Workmentioning

confidence: 99%

DeepSIM: GPS Spoofing Detection on UAVs using Satellite Imagery Matching

Xue

Niu

Hong

et al. 2020

Annual Computer Security Applications Conference

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“…Liu et al [5] stated that, after the appearance of the photoelectric ranging sensor system based on laser as carrier, because of its excellent performance, has been rapidly applied to the national economy and industrial development, such as geodetic survey, aerospace survey, indoor positioning, UAV and other fields.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Distance measurement is achieved by calculating the distance of laser propagation in the time interval between the transmitted signal and the echo signal, as shown in formulas (1), (2), and (3): Δt and 2 Δt are the time for the laser pulse to refract back to the O point after it reaches the position P1, P2, and P3 from the detection origin O, respectively. On the basis of completing distance measurement, the altitude information of low, slow, and small target is obtained by measuring the inclination of the detection device and further processing, as shown in formulas (4), (5), and (6):…”

Section: Measuring Principlementioning

confidence: 99%

Intelligent Navigation Design of Fully Autonomous Unmanned Aerial Vehicle Based on Laser Positioning

2019

IJOMAM

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In order to study the intelligent navigation design of fully autonomous UAV (Unmanned Aerial Vehicle) for laser positioning, the laser positioning UAV is mainly discussed. An intelligent navigation design system of fully autonomous UAV based on laser positioning is adopted, which can be used not only for material measurement in large mines and wharfs, but also for mine safety and intelligent mining system. Compared with radar technology, acoustic detection and radio scanning, this method has the characteristics of high efficiency and easy realization, and is more suitable for the detection and positioning of low-speed flying small targets in ultra-low altitude visual range. Finally, the software of the system is programmed, including time, inclination, pendulum, positioning and other measurements. The experimental results are illustrated by flow chart. Laser positioning is designed separately according to the actual needs. The UAV and GPS (Global Position System) positioning sensor system are studied and analysed, and the two are combined to get three-dimensional coordinates. The test results show that the system can basically fulfill the requirement of autonomous range of laser positioning, and provide data support for the later positioning system.

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“…The image matching based method corrects the geometry distortion and radiation distorting of the images, and if necessary, the images will be filtered. After these processes, an image is matched with an existing standard map and locates the targets [ 23 ]. The high computational cost and the needs of pre-obtained orthoimages of a target area limit the application of this method in target monitoring, although this method is remarkably reliable.…”

Section: Related Researchmentioning

confidence: 99%

An Augmented Reality Geo-Registration Method for Ground Target Localization from a Low-Cost UAV Platform

Ren

Sun

Jiang

et al. 2018

Sensors

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This paper presents an augmented reality-based method for geo-registering videos from low-cost multi-rotor Unmanned Aerial Vehicles (UAVs). The goal of the proposed method is to conduct an accurate geo-registration and target localization on a UAV video stream. The geo-registration of video stream requires accurate attitude data. However, the Inertial Measurement Unit (IMU) sensors on most low-cost UAVs are not capable of being directly used for geo-registering the video. The magnetic compasses on UAVs are more vulnerable to the interferences in the working environment than the accelerometers. Thus the camera yaw error is the main sources of the registration error. In this research, to enhance the low accuracy attitude data from the onboard IMU, an extended Kalman Filter (EKF) model is used to merge Real Time Kinematic Global Positioning System (RTK GPS) data with the IMU data. In the merge process, the high accuracy RTK GPS data can be used to promote the accuracy and stability of the 3-axis body attitude data. A method of target localization based on the geo-registration model is proposed to determine the coordinates of the ground targets in the video. The proposed method uses a modified extended Kalman Filter to combine the data from RTK GPS and the IMU to improve the accuracy of the geo-registration and the localization result of the ground targets. The localization results are compared to the reference point coordinates from satellite image. The comparison indicates that the proposed method can provide practical geo-registration and target localization results.

show abstract

Visual information assisted UAV positioning using priori remote-sensing information

Cited by 13 publications

References 26 publications

DeepSIM: GPS Spoofing Detection on UAVs using Satellite Imagery Matching

DeepSIM: GPS Spoofing Detection on UAVs using Satellite Imagery Matching

Intelligent Navigation Design of Fully Autonomous Unmanned Aerial Vehicle Based on Laser Positioning

An Augmented Reality Geo-Registration Method for Ground Target Localization from a Low-Cost UAV Platform

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