An accurate and efficient pile driver positioning system using laser range finder

Xiangqi Huang, Takeshi Sasaki, Hideki Hashimoto, Fumihiro Inoue, Bo Zheng, Takeshi Masuda, Katsushi Ikeuchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Real-time positioning a pile for accurate pile driving is desirable for modern construction foundation work, but it suffers from the deficiency of the traditional systems because surveying instruments are manually used to mark the pile positions in which the accuracy heavily depends on the worker's experience. The paper confronts this problem by proposing a highly efficient positioning system using a Laser Range Finder (LRF). Over the traditional systems ours is superior to automatically detect the position of the pile or pile driver in real time with high accuracy. To this end, we first develop LRF based surveying system to scan the construction site in real time and gather the 2D laser point data. Then we detect target object such as pile or pile driver by fast fitting a circle-like geometric model to the data based on Maximum Likelihood Estimation (MLE) inference. The performance of the algorithm is validated by both synthesized and real data set. The results demonstrate the potentials on feasibility of our method in future construction field.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages158-167
Number of pages10
Volume7854 LNCS
DOIs
Publication statusPublished - 2013
EventInternational Workshop on Advances in Depth Image Analysis and Applications, WDIA 2012 - Tsukuba
Duration: 2012 Nov 112012 Nov 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7854 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherInternational Workshop on Advances in Depth Image Analysis and Applications, WDIA 2012
CityTsukuba
Period12/11/1112/11/11

Fingerprint

Pile drivers
Range finders
Piles
Lasers
Surveying instruments
Pile driving
Maximum likelihood estimation
Surveying

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Huang, X., Sasaki, T., Hashimoto, H., Inoue, F., Zheng, B., Masuda, T., & Ikeuchi, K. (2013). An accurate and efficient pile driver positioning system using laser range finder. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7854 LNCS, pp. 158-167). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7854 LNCS). https://doi.org/10.1007/978-3-642-40303-3_17

An accurate and efficient pile driver positioning system using laser range finder. / Huang, Xiangqi; Sasaki, Takeshi; Hashimoto, Hideki; Inoue, Fumihiro; Zheng, Bo; Masuda, Takeshi; Ikeuchi, Katsushi.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7854 LNCS 2013. p. 158-167 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7854 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Huang, X, Sasaki, T, Hashimoto, H, Inoue, F, Zheng, B, Masuda, T & Ikeuchi, K 2013, An accurate and efficient pile driver positioning system using laser range finder. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 7854 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7854 LNCS, pp. 158-167, International Workshop on Advances in Depth Image Analysis and Applications, WDIA 2012, Tsukuba, 12/11/11. https://doi.org/10.1007/978-3-642-40303-3_17
Huang X, Sasaki T, Hashimoto H, Inoue F, Zheng B, Masuda T et al. An accurate and efficient pile driver positioning system using laser range finder. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7854 LNCS. 2013. p. 158-167. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-40303-3_17
Huang, Xiangqi ; Sasaki, Takeshi ; Hashimoto, Hideki ; Inoue, Fumihiro ; Zheng, Bo ; Masuda, Takeshi ; Ikeuchi, Katsushi. / An accurate and efficient pile driver positioning system using laser range finder. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7854 LNCS 2013. pp. 158-167 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{cc4ad91482f44d3f8d6ff0b0def1574b,
title = "An accurate and efficient pile driver positioning system using laser range finder",
abstract = "Real-time positioning a pile for accurate pile driving is desirable for modern construction foundation work, but it suffers from the deficiency of the traditional systems because surveying instruments are manually used to mark the pile positions in which the accuracy heavily depends on the worker's experience. The paper confronts this problem by proposing a highly efficient positioning system using a Laser Range Finder (LRF). Over the traditional systems ours is superior to automatically detect the position of the pile or pile driver in real time with high accuracy. To this end, we first develop LRF based surveying system to scan the construction site in real time and gather the 2D laser point data. Then we detect target object such as pile or pile driver by fast fitting a circle-like geometric model to the data based on Maximum Likelihood Estimation (MLE) inference. The performance of the algorithm is validated by both synthesized and real data set. The results demonstrate the potentials on feasibility of our method in future construction field.",
author = "Xiangqi Huang and Takeshi Sasaki and Hideki Hashimoto and Fumihiro Inoue and Bo Zheng and Takeshi Masuda and Katsushi Ikeuchi",
year = "2013",
doi = "10.1007/978-3-642-40303-3_17",
language = "English",
isbn = "9783642403026",
volume = "7854 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "158--167",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

}

TY - GEN

T1 - An accurate and efficient pile driver positioning system using laser range finder

AU - Huang, Xiangqi

AU - Sasaki, Takeshi

AU - Hashimoto, Hideki

AU - Inoue, Fumihiro

AU - Zheng, Bo

AU - Masuda, Takeshi

AU - Ikeuchi, Katsushi

PY - 2013

Y1 - 2013

N2 - Real-time positioning a pile for accurate pile driving is desirable for modern construction foundation work, but it suffers from the deficiency of the traditional systems because surveying instruments are manually used to mark the pile positions in which the accuracy heavily depends on the worker's experience. The paper confronts this problem by proposing a highly efficient positioning system using a Laser Range Finder (LRF). Over the traditional systems ours is superior to automatically detect the position of the pile or pile driver in real time with high accuracy. To this end, we first develop LRF based surveying system to scan the construction site in real time and gather the 2D laser point data. Then we detect target object such as pile or pile driver by fast fitting a circle-like geometric model to the data based on Maximum Likelihood Estimation (MLE) inference. The performance of the algorithm is validated by both synthesized and real data set. The results demonstrate the potentials on feasibility of our method in future construction field.

AB - Real-time positioning a pile for accurate pile driving is desirable for modern construction foundation work, but it suffers from the deficiency of the traditional systems because surveying instruments are manually used to mark the pile positions in which the accuracy heavily depends on the worker's experience. The paper confronts this problem by proposing a highly efficient positioning system using a Laser Range Finder (LRF). Over the traditional systems ours is superior to automatically detect the position of the pile or pile driver in real time with high accuracy. To this end, we first develop LRF based surveying system to scan the construction site in real time and gather the 2D laser point data. Then we detect target object such as pile or pile driver by fast fitting a circle-like geometric model to the data based on Maximum Likelihood Estimation (MLE) inference. The performance of the algorithm is validated by both synthesized and real data set. The results demonstrate the potentials on feasibility of our method in future construction field.

UR - http://www.scopus.com/inward/record.url?scp=84883286607&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84883286607&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-40303-3_17

DO - 10.1007/978-3-642-40303-3_17

M3 - Conference contribution

SN - 9783642403026

VL - 7854 LNCS

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

SP - 158

EP - 167

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

ER -