Calibration and Sensitivity Analysis of a Stereo Vision-Based Driver Assistance System

Dabóczi, T.; Fazekas, Zoltán

doi:10.5772/5886

Cited by 3 publications

(2 citation statements)

References 25 publications

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“…The influences of measurement noise were also investigated as an important factor for calibration accuracy [34]. Several studies perform task-oriented evaluation, which assesses the influence of calibration error to the accuracy of stereo vision [35], [36] or 3D reconstruction [37]- [39]. Also, a recent paper [40] seeks the camera calibration options suitable for autonomous driving applications.…”

Section: Evaluation Of Calibration Accuracymentioning

confidence: 99%

Accuracy Evaluation and Prediction of Single-Image Camera Calibration

et al. 2023

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This paper proposes an application to statistically predict the accuracy of single-image geometric camera calibration that uses given 2D-3D correspondences. Deriving both camera intrinsics and extrinsics from correspondences between a single image and a 3D shape, is important for the scene analysis when the optical system of the camera is lost, such as in the analyses of traffic accidents. It is unclear whether the single-image calibration will be successful in practice, particularly when the number of 2D-3D correspondences is small, even if we could assign accurate correspondences by manual labor. To this end, we perform a systematic evaluation of the camera parameter accuracy using synthetic environments. Based on the statistics observed during the experiments, our application predicts the calibration accuracy from simple variables (e.g., the area that correspondences could be given). Since the prediction process does not rely on 3D shapes, it provides an estimate of the success of the calibration before time-consuming processes, i.e., 3D scanning and 2D-3D correspondence mapping.INDEX TERMS Camera calibration, traffic accident reconstruction, computer vision.

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Section: Evaluation Of Calibration Accuracymentioning

confidence: 99%

Accuracy Evaluation and Prediction of Single-Image Camera Calibration

et al. 2023

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“…They are more expensive than a single-camera system and are more difficult to integrate into the car's design. Additionally, they rely on very accurate calibration on account of the long observation distance to baseline width ratio [11]. In the vibration and shock-prone environment of a car, it is generally accepted that long-term calibration stability cannot be guaranteed, and online recalibration methods have been proposed [12,13] in an effort to improve the applicability.…”

Section: Introductionmentioning

confidence: 99%

Robust monocular visual odometry for road vehicles using uncertain perspective projection

Hamme

Goeman²,

Veelaert

et al. 2015

J Image Video Proc.

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Many emerging applications in the field of assisted and autonomous driving rely on accurate position information. Satellite-based positioning is not always sufficiently reliable and accurate for these tasks. Visual odometry can provide a solution to some of these shortcomings. Current systems mainly focus on the use of stereo cameras, which are impractical for large-scale application in consumer vehicles due to their reliance on accurate calibration. Existing monocular solutions on the other hand have significantly lower accuracy. In this paper, we present a novel monocular visual odometry method based on the robust tracking of features in the ground plane. The key concepts behind the method are the modeling of the uncertainty associated with the inverse perspective projection of image features and a parameter space voting scheme to find a consensus on the vehicle state among tracked features. Our approach differs from traditional visual odometry methods by applying 2D scene and motion constraints at the lowest level instead of solving for the 3D pose change. Evaluation both on the public KITTI benchmark and our own dataset show that this is a viable approach for visual odometry which outperforms basic 3D pose estimation due to the exploitation of the largely planar structure of road environments.

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Optimization methods to calibrate a stereo rig with increased accuracy for vehicular applications

Dabóczi

2012

2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings

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Calibration and Sensitivity Analysis of a Stereo Vision-Based Driver Assistance System

Cited by 3 publications

References 25 publications

Accuracy Evaluation and Prediction of Single-Image Camera Calibration

Accuracy Evaluation and Prediction of Single-Image Camera Calibration

Robust monocular visual odometry for road vehicles using uncertain perspective projection

Optimization methods to calibrate a stereo rig with increased accuracy for vehicular applications

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