Assessment of the Accuracy of Google Earth Imagery for use as a Tool in Accident Reconstruction

Wirth, Jeffrey L.; Bonugli, Enrique; Freund, Mark

doi:10.4271/2015-01-1435

Cited by 22 publications

(8 citation statements)

References 2 publications

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“…The haversine method produces accurate results when calculating distances measured with Google Earth. The use of Google Earth imagery is logical, and it can be used as a scientific reference for remote sensing studies [36] with fairly accurate accuracy (RMSE 0.569 ft) compared to measurements using laser theodolites [37].…”

Section: Figure 6 Navigation Routes Based On Gnss Data In Meter Formatmentioning

confidence: 99%

The Impact of Telemetry Received Signal Strength of IMU/GNSS Data Transmission on Autonomous Vehicle Navigation

Khosyi’in

Prasetyowati

Suprapto

et al. 2022

IJEEI

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This paper presents the effect of received signal strength on IMU/GNSS sensor data transmission for autonomous vehicle navigation. A pixhawk 2.1 flight controller is used to build the navigation system. Straight lines with back-andforth routes were tested using two types of SiK telemetry: Holybro and RFD. The results of the tests show that when the RSSI value falls close to the receiver's sensitivity value, the readings of the gyro sensor data, accelerometer, magnetometer, and GNSS compass data are disturbed. When the RSSI signal collides with noise, the radio telemetry link is lost, affecting the accuracy of speed data and the orientation of autonomous vehicles. According to Cisco's conversion table, the highest RSSI on Holybro telemetry is -48 dBm, and the lowest is -103 dBm, with a receiver sensitivity of -117 and data reading at a distance of about 427 meters. While the highest RSSI value on RFD telemetry is -17 dBm and the lowest is -113 dBm, even the lowest value is above the receiver's sensitivity limit of -121 dBm with data readings at a distance of approximately 749.4 meters. RFD outperforms Holybro in terms of RSSI and sensitivity at low data rates. When reading distance data to reference distance data using Google Earth and ArcGIS, RFD telemetry has a higher accuracy, with an average accuracy of 98.8%.

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Section: Figure 6 Navigation Routes Based On Gnss Data In Meter Formatmentioning

confidence: 99%

The Impact of Telemetry Received Signal Strength of IMU/GNSS Data Transmission on Autonomous Vehicle Navigation

Khosyi’in

Prasetyowati

Suprapto

et al. 2022

IJEEI

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show abstract

“…The dimensions were measured using the length measurement tools of Internet map services, such as Google Maps, Naver maps, and Baidu maps, if no official data were available. The accuracy of the Internet maps has not been officially announced, but according to Wirth et al (2015), the error of the relative length measurement values is in the range of 1.5 to 100 m; in the case of Google Earth, it is within 1%.…”

Section: Data Collectionmentioning

confidence: 99%

Typology of skybridges in Asia

Lee

Park

2021

Journal of Asian Architecture and Building Engineering

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With the rapid development of high-density urban areas and the construction of high-rise complexes, the number of skybridges has increased during the last 20 years. While skybridges in high-rise building complexes have been attracting considerable attention, a few studies have been conducted on state-of-the-art skybridges, but not enough typological research on skybridges has been made based on actual cases. In this study, the typological difference among skybridges sharing common properties was verified using a statistical method based on the cases of skybridges in Asia. The completion year, length, width, and relative elevation of skybridges were used for the statistical analysis. Based on the results, six skybridge types, i.e., open circulation, open sky park, open programmatic, enclosed rooftop programmatic, enclosed circulation, and enclosed programmatic, and their characteristics were derived and described by a threedimensional plot. This study provides a comprehensive understanding of skybridges, and it can be used as a reference material for researchers to understand how high-rise complexes with skybridges will evolve and change their urban environment. It will also help architects to design skybridges and communicate with clients and the public on their value.

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“…Thus, the exterior orientation will absorb some interior errors, thereby influencing the orientation accuracy of the whole image. Many studies have shown that the horizontal positioning accuracy of Google Earth is better than 3 m [38][39][40]. Given that the resolution of GF-1 WFV is 16 m, the accuracy of Google Earth renders it appropriate for validation and to illustrate the influence of compensation.…”

Section: Accuracy Validationmentioning

confidence: 99%

Correction of Pushbroom Satellite Imagery Interior Distortions Independent of Ground Control Points

et al. 2018

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Abstract:Compensating for distortions in pushbroom satellite imagery has a bearing on subsequent earth observation applications. Traditional distortion correction methods usually depend on ground control points (GCPs) acquired from a high-accuracy geometric calibration field (GCF). Due to the high construction costs and site constraints of GCF, it is difficult to perform distortion detection regularly. To solve this problem, distortion detection methods without using GCPs have been proposed, but their application is restricted by rigorous conditions, such as demanding a large amount of calculation or good satellite agility which are not met by most remote sensing satellites. This paper proposes a novel method to correct interior distortions of satellite imagery independent of GCPs. First, a classic geometric calibration method for pushbroom satellite is built and at least three images with overlapping areas are collected, then the forward intersection residual between corresponding points in the images are used to calculate interior distortions. Experiments using the Gaofen-1 (GF-1) wide-field view-1 (WFV-1) sensor demonstrate that the proposed method can increase the level of orientation accuracy from several pixels to within one pixel, thereby almost eliminating interior distortions. Compared with the orientation accuracy by classic GCF method, there exists maximum difference of approximately 0.4 pixel, and the reasons for this discrepancy are analyzed. Generally, this method could be a supplementary method to conventional methods to detect and correct the interior distortion.

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Assessment of the Accuracy of Google Earth Imagery for use as a Tool in Accident Reconstruction

Cited by 22 publications

References 2 publications

The Impact of Telemetry Received Signal Strength of IMU/GNSS Data Transmission on Autonomous Vehicle Navigation

The Impact of Telemetry Received Signal Strength of IMU/GNSS Data Transmission on Autonomous Vehicle Navigation

Typology of skybridges in Asia

Correction of Pushbroom Satellite Imagery Interior Distortions Independent of Ground Control Points

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