Light-stripe-projection-based target position designation for intelligent parking-assist system

Ho Gi Jung, Dong Seok Kim, Jaihie Kim

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

This paper proposes a novel light-stripe-projection-based target position-designation method for an intelligent parking assist system, providing an economical free-space-based target position-designation method for poorly lit indoor parking spaces without degradation of the external appearance when integrated into a vehicle's body. The proposed method can be applied by adding a low-cost light plane projector to existing backward-parking cameras. Light stripe features are detected by the difference between an image with the light plane projector on and off. Three-dimensional information of the parking area is reconstructed using the light-stripe-projection theory. By orientation normalization and depth-map construction, free spaces are detected, and the nearest is selected as the target position. Experimental results show that the proposed method can successfully designate the target position, in spite of poor lighting conditions and the black reflective surface of adjacently parked vehicles.

Original languageEnglish
Article number5518412
Pages (from-to)942-953
Number of pages12
JournalIEEE Transactions on Intelligent Transportation Systems
Volume11
Issue number4
DOIs
Publication statusPublished - 2010 Dec 1

Fingerprint

Parking
Lighting
Cameras
Degradation
Costs

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

Cite this

@article{bd701b01f83241498ca8b2b2b242e6d5,
title = "Light-stripe-projection-based target position designation for intelligent parking-assist system",
abstract = "This paper proposes a novel light-stripe-projection-based target position-designation method for an intelligent parking assist system, providing an economical free-space-based target position-designation method for poorly lit indoor parking spaces without degradation of the external appearance when integrated into a vehicle's body. The proposed method can be applied by adding a low-cost light plane projector to existing backward-parking cameras. Light stripe features are detected by the difference between an image with the light plane projector on and off. Three-dimensional information of the parking area is reconstructed using the light-stripe-projection theory. By orientation normalization and depth-map construction, free spaces are detected, and the nearest is selected as the target position. Experimental results show that the proposed method can successfully designate the target position, in spite of poor lighting conditions and the black reflective surface of adjacently parked vehicles.",
author = "Jung, {Ho Gi} and Kim, {Dong Seok} and Jaihie Kim",
year = "2010",
month = "12",
day = "1",
doi = "10.1109/TITS.2010.2057426",
language = "English",
volume = "11",
pages = "942--953",
journal = "IEEE Transactions on Intelligent Transportation Systems",
issn = "1524-9050",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "4",

}

Light-stripe-projection-based target position designation for intelligent parking-assist system. / Jung, Ho Gi; Kim, Dong Seok; Kim, Jaihie.

In: IEEE Transactions on Intelligent Transportation Systems, Vol. 11, No. 4, 5518412, 01.12.2010, p. 942-953.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Light-stripe-projection-based target position designation for intelligent parking-assist system

AU - Jung, Ho Gi

AU - Kim, Dong Seok

AU - Kim, Jaihie

PY - 2010/12/1

Y1 - 2010/12/1

N2 - This paper proposes a novel light-stripe-projection-based target position-designation method for an intelligent parking assist system, providing an economical free-space-based target position-designation method for poorly lit indoor parking spaces without degradation of the external appearance when integrated into a vehicle's body. The proposed method can be applied by adding a low-cost light plane projector to existing backward-parking cameras. Light stripe features are detected by the difference between an image with the light plane projector on and off. Three-dimensional information of the parking area is reconstructed using the light-stripe-projection theory. By orientation normalization and depth-map construction, free spaces are detected, and the nearest is selected as the target position. Experimental results show that the proposed method can successfully designate the target position, in spite of poor lighting conditions and the black reflective surface of adjacently parked vehicles.

AB - This paper proposes a novel light-stripe-projection-based target position-designation method for an intelligent parking assist system, providing an economical free-space-based target position-designation method for poorly lit indoor parking spaces without degradation of the external appearance when integrated into a vehicle's body. The proposed method can be applied by adding a low-cost light plane projector to existing backward-parking cameras. Light stripe features are detected by the difference between an image with the light plane projector on and off. Three-dimensional information of the parking area is reconstructed using the light-stripe-projection theory. By orientation normalization and depth-map construction, free spaces are detected, and the nearest is selected as the target position. Experimental results show that the proposed method can successfully designate the target position, in spite of poor lighting conditions and the black reflective surface of adjacently parked vehicles.

UR - http://www.scopus.com/inward/record.url?scp=78649749961&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78649749961&partnerID=8YFLogxK

U2 - 10.1109/TITS.2010.2057426

DO - 10.1109/TITS.2010.2057426

M3 - Article

AN - SCOPUS:78649749961

VL - 11

SP - 942

EP - 953

JO - IEEE Transactions on Intelligent Transportation Systems

JF - IEEE Transactions on Intelligent Transportation Systems

SN - 1524-9050

IS - 4

M1 - 5518412

ER -