Image data acquisition at traffic accident scene and processing method thereof

Abstract

The invention belongs to the field of digital image processing technology and relates to an image data information collection at a traffic accident scene and a processing method thereof. A fixed structure is used to adjust the angles of four laser range finders, so as to form a quadrangle laser target around the traffic accident scene. A camera is used to take accident scene photographs with the laser target and to record the distance, shooting angles and other geometric scene information of the laser target relative to the laser range finder. Based on the method of simplified direct linear transformation, the laser target of the image is regarded as a calibration object to establish the transformation relationship between an image space and a object space; based on the transformation relationship established and the allowable error threshold values, the image transformation on all pixels of the image can be made to get an orthographic projection image of the traffic accident scene. Finally, based on the conversion relationship between the pixel length and the actual geometrical length, the image of the traffic accident scene with the same size of the traffic accident scene can be obtained. The invention is mainly used in major traffic accidents and can meet the application requirements of the rapid investigation at the traffic accident scene.

Description

technical field [0001] The invention relates to a method in the technical field of digital image processing, in particular to a method for collecting and processing image data information at a scene of a traffic accident. Background technique [0002] In order to improve the accuracy of traffic accident identification, it is necessary to carefully investigate useful information such as vehicle parking positions, tire impressions and drag marks, road scratches, oil stains, debris, and indentations outside the road at the accident scene. Traditional traffic accident site survey work is completed by human eyes, hand touch, measuring tape, and manual drawing. This measurement method is not accurate, takes up a long time, and is easy to miss information, which cannot provide sufficient information for accident analysts. information. As traffic becomes more and more intense, there is a need to quickly and accurately measure the scene of a traffic accident. [0003] After searchi...

AI Technical Summary

Problems solved by technology

However, when arranging the calibration system, it takes a long time to maintain the relative position and angle between the markers, and it takes multiple photos to be manually calibrated for each photo, which will lead to large errors and low efficiency. On the other hand, due to the complex structure of the calibration object used, a complete DLT (Direct Linear Transformation) method must be used to calculate the coordinates of the three-dimensional space, while the actual traffic scene drawing generally only needs to give a two-dimensional orthographic projection map, so that It requires a large amount of calculation and takes a long time for image processing, which does not meet the current needs for rapid processing of traffic accident scenes

[0004] At present, when the photogrammetry method is used for traffic accident investigation, more than six calibration points (reference points with known actual spatial positions) are mainly placed on the site for calibration, which can greatly shorten the time of traffic accident site investigation. Fixing points, measuring their actual spatial position coordinates, taking multiple photos, complex fitting algorithms, and complex calibration objects will result in a large amount of image processing operations, which will take a long time and reduce the cost of photogrammetry. The measurement accuracy in actual on-site use still cannot meet the current requirements for rapid handling of traffic accidents

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