摘要

小型机器人传统视觉方法对环境适应性差。提出了一种基于双目超大视场红外相机的环境感知方法。利用大视场镜头高阶奇次多项式模型, 建立了超大视场红外双目立体成像的水平和垂直视差数字模型。以视差模型为基础建立超大视场红外双目视觉模型, 研究了超大视场红外双目系统立体视觉范围和阈值。搭建了视场为170°×128°的超大视场红外立体视觉系统, 分析了立体视觉范围及阈值应用于小型机器人视觉的可行性。同时, 针对照度不均、雾霾等条件下的场景开展超大视场红外双目立体视觉实验研究, 构建了双目图像标准视差图, 结果表明, 超大视场红外双目立体视觉系统对复杂场景具有良好的适应性, 基本能够满足小型机器人视觉系统需求。

Abstract

To overcome such defects as poor environmental adaptability of traditional machine vision, a kind of environmental perception method based on binocular infrared ultrawide field of view (FOV) camera was proposed. Horizontal and vertical models for ultrawide FOV binocular infrared imaging were established by using high order polynomial model. Stereo vision range and threshold were researched on the basis of parallax model. Infrared ultrawide FOV binocular stereo vision system with the vision field of 170°×128° was established. Stereo vision experiments were carried out under different conditions, such as uneven illumination, smog, etc. Subjective and objective evaluation shows that infrared ultrawide FOV binocular stereo vision system has good applicability to complex scenes and is able to realize 3D depth perception of the infrared ultrawide FOV, which basically meets the requirements of small robot vision system.

补充资料

中图分类号：TP394.1

DOI：10.16818/j.issn1001-5868.2019.02.025

所属栏目：光电技术及应用

基金项目：国家自然科学基金项目(61801507)

收稿日期：2018-11-21

修改稿日期：--

网络出版日期：--

作者单位    点击查看

联系人作者：陈一超(opticscyc@163.com)

备注：陈一超(1991-), 男, 博士研究生, 主要从事光电对抗和光电检测方面的研究。

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引用该论文

CHEN Yichao,LIU Bingqi,HUANG Fuyu. Analysis on Feasibility of Infrared Ultrawide FOV Binocular Vision for Small Robots[J]. Semiconductor Optoelectronics, 2019, 40(2): 266-270

陈一超,刘秉琦,黄富瑜. 面向小型机器人的超大视场红外立体视觉可行性分析[J]. 半导体光电, 2019, 40(2): 266-270