Research on UAV Flight Performance Test Method Based on Dual Antenna GPS/INS Integrated System

Huang, Sijie; Huang, Jin; Tang, Di; Chen, Fansheng

doi:10.1109/icomis.2018.8644961

Cited by 6 publications

(8 citation statements)

References 10 publications

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“…A UAV flight performance test method based on an integrated dual-antenna global positioning system/inertial navigation system (GPS/INS) was proposed in [47] to provide hovering, attitude stability and track measurements. In particular, the attitude measurement was carried out by using two antennas mounted at different positions on the vehicle and the carrier phase measurement, to determine the relative position between the GPS antennas.…”

Section: Flight Testingmentioning

confidence: 99%

“…The vehicle performances were determined by means of evaluation function models [47]. To obtain the hovering accuracy, the authors used the initial hovering position as the reference point and found the deviation of the UAV's real time position and reference position in a certain time interval.…”

Section: Flight Testingmentioning

confidence: 99%

“…The deviation in the compared data reflected the flight path accuracy of the UAV. In [47] the least squares linear fitting method was used to perform three-dimensional linear fitting on the reference data at different times, and then calculate the difference between the real-time and fitting data. This was done to face the possible inconsistency between the real-time acquisition time of the UAV and the integrated inertial navigation device.…”

Section: Flight Testingmentioning

confidence: 99%

See 2 more Smart Citations

Sensors and Measurements for UAV Safety: An Overview

Balestrieri

Daponte

Vito

et al. 2021

Sensors

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Unmanned aerial vehicles’ (UAVs) safety has gained great research interest due to the increase in the number of UAVs in circulation and their applications, which has inevitably also led to an increase in the number of accidents in which these vehicles are involved. The paper presents a classification of UAV safety solutions that can be found in the scientific literature, putting in evidence the fundamental and critical role of sensors and measurements in the field. Proposals from research on each proposed class concerning flight test procedures, in-flight solutions including soft propeller use, fault and damage detection, collision avoidance and safe landing, as well as ground solution including testing and injury and damage quantification measurements are discussed.

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Section: Flight Testingmentioning

confidence: 99%

Section: Flight Testingmentioning

confidence: 99%

Section: Flight Testingmentioning

confidence: 99%

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Sensors and Measurements for UAV Safety: An Overview

Balestrieri

Daponte

Vito

et al. 2021

Sensors

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show abstract

“…These functions enable people to remotely control the devices and reduce body exposure in ADLs and interaction in planned tasks. DIoT depicts the fundamental of layered architecture control for UAV to perform in the different communication environment [12][13][14]. As shown in Figure 1, UAV has demonstrated its variety of civil usage for daily living purposes such as surveillance, delivery, and task performance in the segments of law enforcement [15], disaster rescue [16], journalism and filming [17], traffic load monitoring [18], and healthcare.…”

Section: Literature Reviewmentioning

confidence: 99%

The Use of Emerging Technologies DIoT: Elderly Daily Living in Post-Epidemic Era

Goh

Jhanjhi

2021

MATEC Web Conf.

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As the number of aging population increases, their Quality of Life (QoL) becomes a concern in the society. The elderly is not only vulnerable due to their chronic degeneration issues but may also be insensitive to technological innovation which could possibly improve their QoL in the Industrial Revolution 4.0. The outbreak of COVID-19 has significantly threatened their well-being in their living context and will consequentially change people’s perspective towards normal lifestyle after this public health crisis. Recent studies have highlighted the usability of the drone technology in the automation of navigation, monitoring, and load carrying which can potentially facilitate various purposes of use in our daily life. This paper reviews recent academic works related to Drone-Based Internet of Things (DIoT) technology and extracts the advantages of DIoT applications, which have the potential to assist elderly’s Activity of Daily Living (ADL) in post-epidemic time. Our results suggest that with the low energy consumption, the DIoT techniques are capable of reducing the body exposure under pandemic situation and satisfying the appreciation to normal and digital-connected life in the future. Nevertheless, the limited flying range and low technology penetration among elderly users significantly impede the implementation of DIoT application. Importantly, the DIoT technology upgrades manpower-based manual work. This paper updates to the knowledge of drone technology application in the context of elderly centre during post-pandemic.

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“…With the increase of time, the navigation results, which are calculated by single IMU, become more and more unreliable. Based on the advantages and disadvantages of the above two navigation ways, the integrated system composed of GPS and INS becomes a common navigation system of UAV [5], [7]- [9], [25], [32], [33]. Although GPS can reduce the influence of accumulated error to a great extent, the drift of the integrated system after a long-time operation can't be completely avoided.…”

Section: Introductionmentioning

confidence: 99%

A Novel Positioning System of UAV Based on IMA-GPS Three-Layer Data Fusion

et al. 2020

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In recent years, the positioning technology for unmanned aerial vehicle (UAV) has been developed rapidly. However, there are still challenges in terms of improving the computational efficiency, accuracy, and robustness of the algorithm for applications in fast flight with UAV. In this paper, we present a novel positioning system of UAV based on IMA-GPS (inertial measurement unit array -global positioning system) three-layer data fusion, which effectively solves the positioning problem of UAV. The first layer is the distributed filtering layer, the unscented Kalman filter serves as the local filter to process the measurements generated by each IMU in the IMA. The second layer is the IMA compensation fusion layer, the data of GPS is introduced to compensate for the deviation of the navigation results calculated by each IMU. The third layer is the GPS-IMA joint optimization layer, where the outputs of the IMA and GPS are fused to obtain the attitude, speed, and position. Simulation results show that the proposed method can realize an integrated navigation system which has low cost, high accuracy, and high computational speed, so that the performance of the UAV positioning system will be improved greatly.INDEX TERMS IMA, unscented Kalman filter, multi-sensor data fusion, UAV positioning system.

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Research on UAV Flight Performance Test Method Based on Dual Antenna GPS/INS Integrated System

Cited by 6 publications

References 10 publications

Sensors and Measurements for UAV Safety: An Overview

Sensors and Measurements for UAV Safety: An Overview

The Use of Emerging Technologies DIoT: Elderly Daily Living in Post-Epidemic Era

A Novel Positioning System of UAV Based on IMA-GPS Three-Layer Data Fusion

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