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Three-dimensional Ambient Perception Method Based on Binocular Stereo Visual and Structural Light

机译:基于双目立体声视觉和结构光的三维环境感知方法

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Environmental awareness is a key technology in the study of assisted driving system or unmanned driving technology. Aiming at the problem that the environment perception system is difficult to reconstruct in the complex environment, such as dark light and weak texture, a 3D environment perception method based on binocular stereo vision and structured light was proposed. An improved gray-scale barycenter extraction algorithm was used to extract the center of the grating fringe, and a sweeping grating matching method based on polar constraint was used to match the left and right images. Finally, the three-dimensional information of the grating fringe was obtained. The experimental results show that the center extraction time of a single image is less than 0.5S, and the 3D data of the measured object can be obtained to meet the requirements of the system.
机译:环境意识是辅助驾驶系统或无人驾驶技术研究的关键技术。 针对环境感知系统难以重建的问题,如暗光和弱纹理,提出了基于双目立体视觉和结构光的3D环境感知方法。 改进的灰度级Centeer提取算法用于提取光栅边缘的中心,并且使用基于极性约束的扫描光栅匹配方法匹配左图像和右图像。 最后,获得了光栅边缘的三维信息。 实验结果表明,单个图像的中心提取时间小于0.5s,并且可以获得测量物体的3D数据以满足系统的要求。

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