Vision-based Parking Occupation Detecting with Embedded AI Processor

Kwon Neung Cho; Hyun Woo Oh; Seung Eun Lee

doi:10.1109/ICCE50685.2021.9427661

Vision-based Parking Occupation Detecting with Embedded AI Processor

Kwon Neung Cho, Hyun Woo Oh, Seung Eun Lee

Electronic Engineering Program

Seoul National University of Science and Technology (SNUST)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

Recently, as the interest of smart parking system is increasing, the various methods for detecting parking occupation are under study. In this paper, we present a vision-based parking occupation detection with embedded AI processor. By employing a fisheye lens camera, multiple parking slot states are identified in one device. We measure the recognition rate of the AI processor in the proposed system and determine the optimized configuration with software simulator. The highest recognition rate is measured at 94.48% in the configuration of 64 number of training data with 256 bytes data size.

Original language	English
Title of host publication	2021 IEEE International Conference on Consumer Electronics, ICCE 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728197661
DOIs	https://doi.org/10.1109/ICCE50685.2021.9427661
State	Published - 10 Jan 2021
Event	2021 IEEE International Conference on Consumer Electronics, ICCE 2021 - Las Vegas, United States Duration: 10 Jan 2021 → 12 Jan 2021

Publication series

Name	Digest of Technical Papers - IEEE International Conference on Consumer Electronics
Volume	2021-January
ISSN (Print)	0747-668X

Conference

Conference	2021 IEEE International Conference on Consumer Electronics, ICCE 2021
Country/Territory	United States
City	Las Vegas
Period	10/01/21 → 12/01/21

Keywords

embedded AI processor
software simulator
vison-based parking occupation detection

Access to Document

10.1109/ICCE50685.2021.9427661

Cite this

Cho, K. N., Oh, H. W., & Lee, S. E. (2021). Vision-based Parking Occupation Detecting with Embedded AI Processor. In 2021 IEEE International Conference on Consumer Electronics, ICCE 2021 Article 9427661 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; Vol. 2021-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE50685.2021.9427661

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title = "Vision-based Parking Occupation Detecting with Embedded AI Processor",

abstract = "Recently, as the interest of smart parking system is increasing, the various methods for detecting parking occupation are under study. In this paper, we present a vision-based parking occupation detection with embedded AI processor. By employing a fisheye lens camera, multiple parking slot states are identified in one device. We measure the recognition rate of the AI processor in the proposed system and determine the optimized configuration with software simulator. The highest recognition rate is measured at 94.48\% in the configuration of 64 number of training data with 256 bytes data size.",

keywords = "embedded AI processor, software simulator, vison-based parking occupation detection",

author = "Cho, \{Kwon Neung\} and Oh, \{Hyun Woo\} and Lee, \{Seung Eun\}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Consumer Electronics, ICCE 2021 ; Conference date: 10-01-2021 Through 12-01-2021",

year = "2021",

month = jan,

day = "10",

doi = "10.1109/ICCE50685.2021.9427661",

language = "English",

series = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2021 IEEE International Conference on Consumer Electronics, ICCE 2021",

}

Cho, KN, Oh, HW & Lee, SE 2021, Vision-based Parking Occupation Detecting with Embedded AI Processor. in 2021 IEEE International Conference on Consumer Electronics, ICCE 2021., 9427661, Digest of Technical Papers - IEEE International Conference on Consumer Electronics, vol. 2021-January, Institute of Electrical and Electronics Engineers Inc., 2021 IEEE International Conference on Consumer Electronics, ICCE 2021, Las Vegas, United States, 10/01/21. https://doi.org/10.1109/ICCE50685.2021.9427661

Vision-based Parking Occupation Detecting with Embedded AI Processor. / Cho, Kwon Neung; Oh, Hyun Woo; Lee, Seung Eun.
2021 IEEE International Conference on Consumer Electronics, ICCE 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 9427661 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; Vol. 2021-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Lee, Seung Eun

PY - 2021/1/10

Y1 - 2021/1/10

N2 - Recently, as the interest of smart parking system is increasing, the various methods for detecting parking occupation are under study. In this paper, we present a vision-based parking occupation detection with embedded AI processor. By employing a fisheye lens camera, multiple parking slot states are identified in one device. We measure the recognition rate of the AI processor in the proposed system and determine the optimized configuration with software simulator. The highest recognition rate is measured at 94.48% in the configuration of 64 number of training data with 256 bytes data size.

AB - Recently, as the interest of smart parking system is increasing, the various methods for detecting parking occupation are under study. In this paper, we present a vision-based parking occupation detection with embedded AI processor. By employing a fisheye lens camera, multiple parking slot states are identified in one device. We measure the recognition rate of the AI processor in the proposed system and determine the optimized configuration with software simulator. The highest recognition rate is measured at 94.48% in the configuration of 64 number of training data with 256 bytes data size.

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KW - software simulator

KW - vison-based parking occupation detection

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U2 - 10.1109/ICCE50685.2021.9427661

DO - 10.1109/ICCE50685.2021.9427661

M3 - Conference contribution

AN - SCOPUS:85106042672

T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics

BT - 2021 IEEE International Conference on Consumer Electronics, ICCE 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE International Conference on Consumer Electronics, ICCE 2021

Y2 - 10 January 2021 through 12 January 2021

ER -

Vision-based Parking Occupation Detecting with Embedded AI Processor

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Keywords

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