车载环视拼接方法的研究

计算机科学 ›› 2013, Vol. 40 ›› Issue (9): 293-295.

车载环视拼接方法的研究

鲁斌,秦瑞,李庆,陈大鹏

中国科学院微电子研究所北京100871;中国科学院微电子研究所北京100871;中国科学院微电子研究所北京100871;中国科学院微电子研究所北京100871

出版日期:2018-11-16 发布日期:2018-11-16
基金资助:
本文受汽车移动物联网总体技术研究(2012ZX03005018),智能交通创新服务系统(XDA06040300)资助

Study of Vehicle-surrounding Image Stitch Algorithm

LU Bin,QIN Rui,LI Qing and CHEN Da-peng

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 介绍一种由4个不同鱼眼摄像机视场映射到俯视图的拼接方案。该方案主要依据逆投影方法分别建立起4个场景到俯视场景下大图的坐标关系,再依据图像融合得到最终俯瞰视图。创新性是提出在相交区域做第二次的泰勒拟合来增加模型对相交区域的描述的准确性。最后依据室内模型小车实验,在小车各个角度下的拼接效果证明提出的算法对车载环视的相交区域拼接效果有显著的改善。

关键词: 车载环视,逆投影变换,相交区域,拼接中图法分类号TP391文献标识码A

Abstract: The paper gave a way to stitch the Images captured by the cameras in four different positions．Mainly,we rebuilt the grant overlook-image through calculating the relationship between the four different visual fields and overlook field．Due to the more perfect image-stitching in overlap region,based on camera calibration theory,we focused on the overlap region,recalculating the external parameters,via inverse mapping,we built the relationships from four different visual fields to overlook field．Finally,we tested the algorithm,and the result gives a proof that the algorithm is effective.

Key words: Vehicle-surrounding,Inverse perspective mapping,Overlap region,Image-stitching

鲁斌,秦瑞,李庆,陈大鹏. 车载环视拼接方法的研究[J]. 计算机科学, 2013, 40(9): 293-295. https://doi.org/

LU Bin,QIN Rui,LI Qing and CHEN Da-peng. Study of Vehicle-surrounding Image Stitch Algorithm[J]. Computer Science, 2013, 40(9): 293-295. https://doi.org/

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