Multi-line fitting using two-stage iterative adaptive approach

Junli Liang; Ding Liu; Yue Zhao; Nianlong Song

doi:10.1007/978-3-642-33509-9_14

Multi-line fitting using two-stage iterative adaptive approach

Junli Liang, Ding Liu, Yue Zhao, Nianlong Song

Xi'an University of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

6 引用（Scopus）

摘要

A new multi-line fitting algorithm using two-stage iterative adaptive approach (IAA) is proposed in this paper. The key points and main contributions are: i) The proposed algorithm decouples the multi-line fitting problem into two-stage spectral estimation problems; ii) In the first stage, it formulates the binary image into virtual far-field array signals with a single snapshot, and estimates the incoming angles using the iterative adaptive approach; iii) In the second stage, it formulates the binary image into multiple near-field signals, and estimates the offsets of these lines using IAA. Simulation and experimental (lane detection) results show that the proposed algorithm is an alternative multi-line fitting approach.

源语言	英语
主期刊名	Intelligent Robotics and Applications - 5th International Conference, ICIRA 2012, Proceedings
页	144-153
页数	10
版本	PART 1
DOI	https://doi.org/10.1007/978-3-642-33509-9_14
出版状态	已出版 - 2012
已对外发布	是
活动	5th International Conference on Intelligent Robotics and Applications, ICIRA 2012 - Montreal, QC, 加拿大期限: 3 10月 2012 → 5 10月 2012

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
编号	PART 1
卷	7506 LNAI
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	5th International Conference on Intelligent Robotics and Applications, ICIRA 2012
国家/地区	加拿大
市	Montreal, QC
时期	3/10/12 → 5/10/12

访问文件

10.1007/978-3-642-33509-9_14

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引用此

Liang, J., Liu, D., Zhao, Y., & Song, N. (2012). Multi-line fitting using two-stage iterative adaptive approach. 在 Intelligent Robotics and Applications - 5th International Conference, ICIRA 2012, Proceedings (PART 1 编辑, 页码 144-153). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 7506 LNAI, 号码 PART 1). https://doi.org/10.1007/978-3-642-33509-9_14

Liang, Junli ; Liu, Ding ; Zhao, Yue 等. / Multi-line fitting using two-stage iterative adaptive approach. Intelligent Robotics and Applications - 5th International Conference, ICIRA 2012, Proceedings. PART 1. 编辑 2012. 页码 144-153 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

@inproceedings{cba9f80aea64470286f9c91195ea2389,

title = "Multi-line fitting using two-stage iterative adaptive approach",

abstract = "A new multi-line fitting algorithm using two-stage iterative adaptive approach (IAA) is proposed in this paper. The key points and main contributions are: i) The proposed algorithm decouples the multi-line fitting problem into two-stage spectral estimation problems; ii) In the first stage, it formulates the binary image into virtual far-field array signals with a single snapshot, and estimates the incoming angles using the iterative adaptive approach; iii) In the second stage, it formulates the binary image into multiple near-field signals, and estimates the offsets of these lines using IAA. Simulation and experimental (lane detection) results show that the proposed algorithm is an alternative multi-line fitting approach.",

keywords = "Iterative adaptive approach, Multi-Line fitting",

author = "Junli Liang and Ding Liu and Yue Zhao and Nianlong Song",

year = "2012",

doi = "10.1007/978-3-642-33509-9_14",

language = "英语",

isbn = "9783642335082",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 1",

pages = "144--153",

booktitle = "Intelligent Robotics and Applications - 5th International Conference, ICIRA 2012, Proceedings",

edition = "PART 1",

note = "5th International Conference on Intelligent Robotics and Applications, ICIRA 2012 ; Conference date: 03-10-2012 Through 05-10-2012",

}

Liang, J, Liu, D, Zhao, Y & Song, N 2012, Multi-line fitting using two-stage iterative adaptive approach. 在 Intelligent Robotics and Applications - 5th International Conference, ICIRA 2012, Proceedings. PART 1 编辑, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 号码 PART 1, 卷 7506 LNAI, 页码 144-153, 5th International Conference on Intelligent Robotics and Applications, ICIRA 2012, Montreal, QC, 加拿大, 3/10/12. https://doi.org/10.1007/978-3-642-33509-9_14

Multi-line fitting using two-stage iterative adaptive approach. / Liang, Junli; Liu, Ding; Zhao, Yue 等.
Intelligent Robotics and Applications - 5th International Conference, ICIRA 2012, Proceedings. PART 1. 编辑 2012. 页码 144-153 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 7506 LNAI, 号码 PART 1).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Multi-line fitting using two-stage iterative adaptive approach

AU - Liang, Junli

AU - Liu, Ding

AU - Zhao, Yue

AU - Song, Nianlong

PY - 2012

Y1 - 2012

N2 - A new multi-line fitting algorithm using two-stage iterative adaptive approach (IAA) is proposed in this paper. The key points and main contributions are: i) The proposed algorithm decouples the multi-line fitting problem into two-stage spectral estimation problems; ii) In the first stage, it formulates the binary image into virtual far-field array signals with a single snapshot, and estimates the incoming angles using the iterative adaptive approach; iii) In the second stage, it formulates the binary image into multiple near-field signals, and estimates the offsets of these lines using IAA. Simulation and experimental (lane detection) results show that the proposed algorithm is an alternative multi-line fitting approach.

AB - A new multi-line fitting algorithm using two-stage iterative adaptive approach (IAA) is proposed in this paper. The key points and main contributions are: i) The proposed algorithm decouples the multi-line fitting problem into two-stage spectral estimation problems; ii) In the first stage, it formulates the binary image into virtual far-field array signals with a single snapshot, and estimates the incoming angles using the iterative adaptive approach; iii) In the second stage, it formulates the binary image into multiple near-field signals, and estimates the offsets of these lines using IAA. Simulation and experimental (lane detection) results show that the proposed algorithm is an alternative multi-line fitting approach.

KW - Iterative adaptive approach

KW - Multi-Line fitting

UR - http://www.scopus.com/inward/record.url?scp=84892881172&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-33509-9_14

DO - 10.1007/978-3-642-33509-9_14

M3 - 会议稿件

AN - SCOPUS:84892881172

SN - 9783642335082

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 144

EP - 153

BT - Intelligent Robotics and Applications - 5th International Conference, ICIRA 2012, Proceedings

T2 - 5th International Conference on Intelligent Robotics and Applications, ICIRA 2012

Y2 - 3 October 2012 through 5 October 2012

ER -

Liang J, Liu D, Zhao Y, Song N. Multi-line fitting using two-stage iterative adaptive approach. 在 Intelligent Robotics and Applications - 5th International Conference, ICIRA 2012, Proceedings. PART 1 编辑 2012. 页码 144-153. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-33509-9_14

Multi-line fitting using two-stage iterative adaptive approach

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