Car-mounted non-scale traffic accident spot rapid reconnaissance system based on binocular visual sense

Abstract

The invention relates to a car-mounted non-scale traffic accident spot rapid reconnaissance system based on binocular visual sense. The system comprises two parts of car-mounted spot reconnaissance equipment and an information processing system. The car-mounted spot reconnaissance equipment carries out photography reconnaissance and information acquisition by triggering a binocular camera. The information processing system comprises an image processing module, a spot picture drafting module and an accident case management module. The image processing module carries out image processing on reconnaissance photographs and realizes coordinate transition and image splicing for dimension marks of spot picture drafting. The spot picture drafting module completes and prints a traffic accident spot picture drafting, according to a mode of combining graph database call and dimension marks. The accident case management module carries out classification management on reconnaissance photographs, spot picture and relevant information, in a case form. According to the invention, pretreatment on a traffic accident spot is not required; an integrated operation of the equipment is easy; measurement precision is high; and only one person is needed to complete all operations in a traffic accident spot reconnaissance vehicle.

Description

technical field [0001] The present invention relates to the field of traffic accident scene photogrammetry based on the principle of binocular vision, in particular to a method of using scaleless photogrammetry equipment to photograph the traffic accident scene and using corresponding software tools to perform algorithmic processing on the photos to calculate the traffic accident scene. An investigation and evidence collection system that coordinates the elements of the accident scene and draws a map of the traffic accident scene. Background technique [0002] Traffic accident scene investigation is very important for traffic accident identification and recurrence analysis. At present, most traffic accident site surveys at home and abroad are based on traditional methods such as empirical judgment, tape measurement, and manual drawing, which are prone to information omissions and judgment errors. Once the survey is completed, the site will be removed. If the above problems o...

AI Technical Summary

Problems solved by technology

The research and retrieval of existing technical literature found that there is no vehicle-mounted scaleless traffic accident scene photogrammetry rapid survey system product and related documents in use in China at present, and traffic accident scene survey personnel cannot realize traffic accident survey in the traffic accident scene survey vehicle. On-site photographic investigation and evidence collection and information collection and processing

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