A Close-Range Photogrammetric Solution Working with Zoomed Images from Digital Cameras

DeChant, Lee; Kinney, J. Rolly

doi:10.4271/2012-01-0612

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…The use of close-range photogrammetry has been validated for reconstructing the 3D geometry of vehicles [3,4,6,8,10,12,14,21,22,31,37,42]. While the cost of equipment is less and the equipment more portable compared to some of the aforementioned methods, traditional closerange photogrammetry requires extensive processing time, in which the analyst must manually identify and cross-reference desired point locations in multiple photographs in order to calculate points of interest.…”

Section: Traditional Photogrammetrymentioning

confidence: 99%

“…The comparison to total station survey methodology was selected as it is widely-accepted in the field of collision reconstruction and it often considered the "gold standard" for three-dimensional vehicle coordinate measurement. Traditional photogrammetry was selected because it has been validated for both general data capture and specific application to vehicle/scene documentation for collision reconstruction using photographs and postprocessing software [3,6,8,10,12,14,21,42]. Like photo-based 3D scanning, traditional photogrammetry can generate a single point cloud for the entire vehicle, thereby allowing direct comparison with the complete photo-based 3D scanning model of the vehicle.…”

Section: Purposementioning

confidence: 99%

See 1 more Smart Citation

The Accuracy of Photo-Based Three-Dimensional Scanning for Collision Reconstruction Using 123D Catch

Erickson¹,

Bauer²,

Hayes³

2013

SAE Technical Paper Series

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An experiment was conducted to examine the validity of freely available photo-based 3D scanning software for generating accurate 3D geometry of a vehicle. Currently, 3D vehicle geometry is routinely captured using total station survey equipment, coordinate measuring machines (CMM), laser scanning, or traditional point-based photogrammetry. While these methods produce sufficiently accurate results for collision reconstruction, they have limitations that can affect practical implementation. For example, manual surveying with a total station, CMM or traditional photogrammetry are all limited to the production of coordinate data at discrete, predefined points. In addition, total stations, CMMs and laser scanning devices are also expensive and require a significant amount of time in the field with the vehicle. In contrast, photo-based 3D scanning allows a 3D mesh to be created of a vehicle simply from a series of photographs using a consumergrade digital camera.

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Section: Traditional Photogrammetrymentioning

confidence: 99%

Section: Purposementioning

confidence: 99%

The Accuracy of Photo-Based Three-Dimensional Scanning for Collision Reconstruction Using 123D Catch

Erickson¹,

Bauer²,

Hayes³

2013

SAE Technical Paper Series

View full text Add to dashboard Cite

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Autonomous 3D metric reconstruction from uncalibrated aerial images captured from UAVs

Castillo‐Carrión

Guerrero-Ginel

2017

International Journal of Remote Sensing

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Application of Plane Homography for Vehicle Speed Calculations in Traffic Accident Investigations

Chen

Liu

et al. 2021

Mathematical Problems in Engineering

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The analysis of vehicle speeds at the moment of traffic accidents is becoming increasingly important. To solve difficult calculations arising from video analysis when the shooting direction of the camera is the same as the driving direction of the vehicles, an improved plane homography method is proposed. This method is based on detecting the frame rate of and extracting all of the key image frames from a surveillance video. Next, a normalizing approach for the control points is proposed to reduce the ill-conditions of matrix calculations when the perspective image is rectified to an orthographic image. The information in the rectified image is then measured and recorded by extracting the mark point information. Finally, the corresponding curve of time and speed for the examined vehicle is created, which can be used to analyze the average braking deceleration of the accident-causing vehicle. This method can directly determine the speed of a vehicle using videos of a traffic accident without any reference to the dimensions of the vehicle itself. Considering an actual traffic accident as an example, the driving trajectories and velocity curves for two vehicles are obtained using this method. The proposed method can effectively overcome the shortcomings of the commonly used speed recognition methods and it is easy to utilize.

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A Close-Range Photogrammetric Solution Working with Zoomed Images from Digital Cameras

Cited by 6 publications

References 11 publications

The Accuracy of Photo-Based Three-Dimensional Scanning for Collision Reconstruction Using 123D Catch

The Accuracy of Photo-Based Three-Dimensional Scanning for Collision Reconstruction Using 123D Catch

Autonomous 3D metric reconstruction from uncalibrated aerial images captured from UAVs

Application of Plane Homography for Vehicle Speed Calculations in Traffic Accident Investigations

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