Side-view Dimensional Profiling of Drive-through Vehicle and Features Extraction by Using LiDAR and Camera

S. P. Li; Y. Y. Chan; Yongshi. Liang; Y. T. Chow; H. Y. Ng; K. L. Keung

doi:10.1109/IEEM55944.2022.9989737

Side-view Dimensional Profiling of Drive-through Vehicle and Features Extraction by Using LiDAR and Camera

S. P. Li
, Y. Y. Chan
, Yongshi. Liang
, Y. T. Chow
, H. Y. Ng
, K. L. Keung

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

This paper focuses on developing an alternative method for measuring the dimension of a moving vehicle in a side-view on the road. The main tools used in this proposed solution are the Light Detection and Ranging (LiDAR) camera, which can measure the distance between the vehicle and it, and photos of a vehicle, and hence obtain the length and height by calculation and several features. This method aims to have easy and high installation mobility, thereby lowering the manufacturing and maintenance costs. Word identification, object detection and wheel detection are further analysis with an aid of machine learning based classification. © 2022 IEEE.

Original language	English
Title of host publication	2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
Publisher	IEEE
Pages	452-456
ISBN (Electronic)	978-1-6654-8687-3
ISBN (Print)	978-1-6654-8688-0
DOIs	https://doi.org/10.1109/IEEM55944.2022.9989737
Publication status	Published - Dec 2022
Externally published	Yes
Event	2022 IEEE International Conference on Industrial Engineering and Engineering Management - Kuala Lumpur Convention Centre, Kuala Lumpur, Malaysia Duration: 7 Dec 2022 → 10 Dec 2022 http://ieem2022.org/public.asp?page=index.asp

Conference

Conference	2022 IEEE International Conference on Industrial Engineering and Engineering Management
Abbreviated title	IEEM 2022
Place	Malaysia
City	Kuala Lumpur
Period	7/12/22 → 10/12/22
Internet address	http://ieem2022.org/public.asp?page=index.asp

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

Vehicle
Dimension measurement
LiDAR camera
Transportation engineering

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10.1109/IEEM55944.2022.9989737

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@inproceedings{5fdd3940f39e4744ba282d7535be26f3,

title = "Side-view Dimensional Profiling of Drive-through Vehicle and Features Extraction by Using LiDAR and Camera",

abstract = "This paper focuses on developing an alternative method for measuring the dimension of a moving vehicle in a side-view on the road. The main tools used in this proposed solution are the Light Detection and Ranging (LiDAR) camera, which can measure the distance between the vehicle and it, and photos of a vehicle, and hence obtain the length and height by calculation and several features. This method aims to have easy and high installation mobility, thereby lowering the manufacturing and maintenance costs. Word identification, object detection and wheel detection are further analysis with an aid of machine learning based classification. {\textcopyright} 2022 IEEE.",

keywords = "Vehicle, Dimension measurement, LiDAR camera, Transportation engineering",

author = "Li, \{S. P.\} and Chan, \{Y. Y.\} and Yongshi. Liang and Chow, \{Y. T.\} and Ng, \{H. Y.\} and Keung, \{K. L.\}",

year = "2022",

month = dec,

doi = "10.1109/IEEM55944.2022.9989737",

language = "English",

isbn = "978-1-6654-8688-0",

pages = "452--456",

booktitle = "2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)",

publisher = "IEEE",

address = "United States",

note = "2022 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022 ; Conference date: 07-12-2022 Through 10-12-2022",

url = "http://ieem2022.org/public.asp?page=index.asp",

}

Li, SP, Chan, YY, Liang, Y, Chow, YT, Ng, HY & Keung, KL 2022, Side-view Dimensional Profiling of Drive-through Vehicle and Features Extraction by Using LiDAR and Camera. in 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, pp. 452-456, 2022 IEEE International Conference on Industrial Engineering and Engineering Management, Kuala Lumpur, Malaysia, 7/12/22. https://doi.org/10.1109/IEEM55944.2022.9989737

Side-view Dimensional Profiling of Drive-through Vehicle and Features Extraction by Using LiDAR and Camera. / Li, S. P.; Chan, Y. Y.; Liang, Yongshi. et al.
2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2022. p. 452-456.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Side-view Dimensional Profiling of Drive-through Vehicle and Features Extraction by Using LiDAR and Camera

AU - Li, S. P.

AU - Chan, Y. Y.

AU - Liang, Yongshi.

AU - Chow, Y. T.

AU - Ng, H. Y.

AU - Keung, K. L.

PY - 2022/12

Y1 - 2022/12

N2 - This paper focuses on developing an alternative method for measuring the dimension of a moving vehicle in a side-view on the road. The main tools used in this proposed solution are the Light Detection and Ranging (LiDAR) camera, which can measure the distance between the vehicle and it, and photos of a vehicle, and hence obtain the length and height by calculation and several features. This method aims to have easy and high installation mobility, thereby lowering the manufacturing and maintenance costs. Word identification, object detection and wheel detection are further analysis with an aid of machine learning based classification. © 2022 IEEE.

AB - This paper focuses on developing an alternative method for measuring the dimension of a moving vehicle in a side-view on the road. The main tools used in this proposed solution are the Light Detection and Ranging (LiDAR) camera, which can measure the distance between the vehicle and it, and photos of a vehicle, and hence obtain the length and height by calculation and several features. This method aims to have easy and high installation mobility, thereby lowering the manufacturing and maintenance costs. Word identification, object detection and wheel detection are further analysis with an aid of machine learning based classification. © 2022 IEEE.

KW - Vehicle

KW - Dimension measurement

KW - LiDAR camera

KW - Transportation engineering

UR - https://www.scopus.com/pages/publications/85146314658

UR - https://www.scopus.com/pages/publications/85146314658#tab=impact

U2 - 10.1109/IEEM55944.2022.9989737

DO - 10.1109/IEEM55944.2022.9989737

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-1-6654-8688-0

SP - 452

EP - 456

BT - 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

PB - IEEE

T2 - 2022 IEEE International Conference on Industrial Engineering and Engineering Management

Y2 - 7 December 2022 through 10 December 2022

ER -

Side-view Dimensional Profiling of Drive-through Vehicle and Features Extraction by Using LiDAR and Camera

Abstract

Conference

UN SDGs

Research Keywords

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