Automatic extrinsic calibration methods for Surround View Systems

K. Natroshvili, Kay-Ulrich Scholl
{"title":"Automatic extrinsic calibration methods for Surround View Systems","authors":"K. Natroshvili, Kay-Ulrich Scholl","doi":"10.1109/IVS.2017.7995702","DOIUrl":null,"url":null,"abstract":"A typical Surround View System consists of several cameras on the vehicle perimeter. This document proposes three novel methods for the extrinsic calibration of Surround View Systems (SVS). I — The first approach uses a single calibration pattern placed step-by-step on the vehicle perimeter. II — The second approach uses several calibration patterns placed on the ground plane. The vehicle drives between the calibration setup. No knowledge of the vehicle's location relative to the calibration patterns is necessary; only distances between the calibration patterns are required. III — The last approach gives the most flexibility in calibration. The features are distributed on the ground plane arbitrarily. The vehicle drives forward and backward and all extrinsic calibration parameters are automatically estimated. Each of these approaches provide very good calibration results, sufficient for the correct operation of SVS.","PeriodicalId":143367,"journal":{"name":"2017 IEEE Intelligent Vehicles Symposium (IV)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Intelligent Vehicles Symposium (IV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVS.2017.7995702","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

Abstract

A typical Surround View System consists of several cameras on the vehicle perimeter. This document proposes three novel methods for the extrinsic calibration of Surround View Systems (SVS). I — The first approach uses a single calibration pattern placed step-by-step on the vehicle perimeter. II — The second approach uses several calibration patterns placed on the ground plane. The vehicle drives between the calibration setup. No knowledge of the vehicle's location relative to the calibration patterns is necessary; only distances between the calibration patterns are required. III — The last approach gives the most flexibility in calibration. The features are distributed on the ground plane arbitrarily. The vehicle drives forward and backward and all extrinsic calibration parameters are automatically estimated. Each of these approaches provide very good calibration results, sufficient for the correct operation of SVS.
环视系统的外部自动标定方法
典型的环视系统由车辆周边的几个摄像头组成。本文提出了三种新的环视系统外部定标方法。第一种方法使用一个单一的校准模式,一步一步地放置在车辆周边。第二种方法使用放置在地平面上的几个校准模式。车辆行驶之间的校准设置。不需要知道车辆相对于校准模式的位置;只需要校准模式之间的距离。最后一种方法在校准中提供了最大的灵活性。特征在地平面上是任意分布的。车辆向前和向后行驶,并自动估计所有外部校准参数。每种方法都提供了非常好的校准结果,足以保证SVS的正确运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信