A Method for Automatic Image Rectification and Stitching for Vehicle Yaw Marks Trajectory Estimation

Žuraulis, Vidas; Matuzevičius, Dalius; Serackis, Artūras

doi:10.7307/ptt.v28i1.1752

Cited by 8 publications

(7 citation statements)

References 12 publications

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“…Images are reproduced by photographing at an angle that is as close to the right angle as possible, when the distances to the object are known; however, when estimating the angles and distances, new errors appear. By eliminating manual measurement procedures and fully applying automatic image rectification and stitching, the said errors are minimized [11].…”

Section: Vehicle Modelmentioning

confidence: 99%

“…Trajectory approximation obtained by photogrammetry [11] is appropriate for formation of a characteristic curve of maximum possible accuracy according to the preset points of coordination of the tire marks. For establishing the trajectory radius, the derivative of the polynomial that approximates the trajectory is calculated; the said derivative conforms to a tangent of the curve.…”

Section: Analysis Of Slipping Trajectory Changementioning

confidence: 99%

See 1 more Smart Citation

Vehicle Velocity Relation to Slipping Trajectory Change: An Option for Traffic Accident Reconstruction

Žuraulis

Sokolovskij²

2018

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In this paper, the relation of the velocity of a vehicle in the slip mode to the parameters of the tire marks on the road surface is examined. During traffic accident reconstructions, the initial velocity of a sideslipping vehicle is established according to the tire mark trajectory radius, and calculations highly depend on the directly measured parameters of the tire marks, in particular cases known as yaw marks. In this work, a developed and experimentally validated 14-degree-of-freedom mathematical model of a vehicle is used for an investigation of the relation between velocity and trajectories. The dependence of initial vehicle velocity on tire yaw mark length and trajectory radius was found as a characteristic relation. Hence, after approximation of the permanent slipping part by a polynomial, the parameters of the latter were related to vehicle velocity. The dependences were established by specific experimental tests and computer-aided simulation of the developed model.

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Section: Vehicle Modelmentioning

confidence: 99%

Section: Analysis Of Slipping Trajectory Changementioning

confidence: 99%

Vehicle Velocity Relation to Slipping Trajectory Change: An Option for Traffic Accident Reconstruction

Žuraulis

Sokolovskij²

2018

PROMET

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“…Photogrammetry offers a sophisticated method to extract precise geometric information from photographs. This technology enables the creation of detailed three-dimensional (3D) models of objects [1][2][3][4] or scenes [5][6][7][8], transforming the way industries and sciences approach visualization and analysis [9][10][11][12][13][14][15]. Utilization of photogrammetry spans a diverse range of fields, underlining its significance in contemporary applications that demand accuracy and detail [16][17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Key-Point-Descriptor-Based Image Quality Evaluation in Photogrammetry Workflows

Matuzevičius,

Urbanavičius,

Miniotas

et al. 2024

Electronics

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Photogrammetry depends critically on the quality of the images used to reconstruct accurate and detailed 3D models. Selection of high-quality images not only improves the accuracy and resolution of the resulting 3D models, but also contributes to the efficiency of the photogrammetric process by reducing data redundancy and computational demands. This study presents a novel approach to image quality evaluation tailored for photogrammetric applications that uses the key point descriptors typically encountered in image matching. Using a LightGBM ranker model, this research evaluates the effectiveness of key point descriptors such as SIFT, SURF, BRISK, ORB, KAZE, FREAK, and SuperPoint in predicting image quality. These descriptors are evaluated for their ability to indicate image quality based on the image patterns they capture. Experiments conducted on various publicly available image datasets show that descriptor-based methods outperform traditional no-reference image quality metrics such as BRISQUE, NIQE, PIQE, and BIQAA and a simple sharpness-based image quality evaluation method. The experimental results highlight the potential of using key-point-descriptor-based image quality evaluation methods to improve the photogrammetric workflow by selecting high-quality images for 3D modeling.

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“…Image-based reconstruction and modeling of objects [30][31][32], scenes [33][34][35][36][37][38], or processes [39,40], is a widely available and relatively inexpensive technique for information acquisition [41][42][43]. One of the photogrammetric methods is the structure-from-motion (SfM) technique [44][45][46].…”

Section: Introductionmentioning

confidence: 99%

Improving Monocular Camera Localization for Video-Based Three-Dimensional Outer Ear Reconstruction Tasks

et al. 2023

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This work addresses challenges related to camera 3D localization while reconstructing a 3D model of an ear. This work explores the potential solution of using a cap, specifically designed not to obstruct the ear, and its efficiency in enhancing the camera localization for structure-from-motion (SfM)-based object reconstruction. The proposed solution is described, and an elaboration of the experimental scenarios used to investigate the background textures is provided; data collection and software tools used in the research are reported. The results show that the proposed method is effective, and using the cap with texture leads to a reduction in the camera localization error. Errors in the 3D location reconstruction of the camera were calculated by comparing cameras localized within typical ear reconstruction situations to those of higher-accuracy reconstructions. The findings also show that caps with sparse dot patterns and a regular knitted patterned winter hat are the preferred patterns. The study provides a contribution to the field of 3D modeling, particularly in the context of creating 3D models of the human ear, and offers a step towards more accurate, reliable, and feasible 3D ear modeling and reconstruction.

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A Method for Automatic Image Rectification and Stitching for Vehicle Yaw Marks Trajectory Estimation

Abstract: ABSTRACT

Cited by 8 publications

References 12 publications

Vehicle Velocity Relation to Slipping Trajectory Change: An Option for Traffic Accident Reconstruction

Vehicle Velocity Relation to Slipping Trajectory Change: An Option for Traffic Accident Reconstruction

Key-Point-Descriptor-Based Image Quality Evaluation in Photogrammetry Workflows

Improving Monocular Camera Localization for Video-Based Three-Dimensional Outer Ear Reconstruction Tasks

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