Uniform user interface for semiautomatic parking slot marking recognition

Ho Gi Jung, Yun Hee Lee, Jaihie Kim

Research output: Contribution to journalArticle

36 Citations (Scopus)

Abstract

Automatic parking systems consist of three core technologies: 1) target position designation; 2) path planning; and 3) path tracking. Target position-designation methods can be divided into four categories: 1) user-interface based; 2) parking slot marking based; 3) free-space based; and 4) infrastructure based. Considering the fact that parking-assist systems are expected to be used mainly in urban situations, recognition of parking slot markings could be the most economical and efficient solution for target position designation. This paper proposes a semiautomatic parking slot marking-based target position-designation method. The user can initiate parking slot marking recognition by placing a finger on each side of the entrance of the target parking slot. With such a user interface, these systems can reduce the search range to so small an area that computational loads and false-recognition rates are significantly reduced. Furthermore, by identifying the junction patterns of parking slot markings around the designated point with a neural network-based classifier, the user can establish the target position with a uniform user interface. The proposed system showed a 91.10% recognition rate in 191 test cases consisting of five different types of parking slot markings.

Original languageEnglish
Article number5290105
Pages (from-to)616-626
Number of pages11
JournalIEEE Transactions on Vehicular Technology
Volume59
Issue number2
DOIs
Publication statusPublished - 2010 Feb 1

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Parking
User Interface
User interfaces
Target
Path Tracking
Path Planning
Free Space
Efficient Solution
Infrastructure
Classifier
Neural Networks
Motion planning
Classifiers
Range of data
Neural networks

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Aerospace Engineering
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

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abstract = "Automatic parking systems consist of three core technologies: 1) target position designation; 2) path planning; and 3) path tracking. Target position-designation methods can be divided into four categories: 1) user-interface based; 2) parking slot marking based; 3) free-space based; and 4) infrastructure based. Considering the fact that parking-assist systems are expected to be used mainly in urban situations, recognition of parking slot markings could be the most economical and efficient solution for target position designation. This paper proposes a semiautomatic parking slot marking-based target position-designation method. The user can initiate parking slot marking recognition by placing a finger on each side of the entrance of the target parking slot. With such a user interface, these systems can reduce the search range to so small an area that computational loads and false-recognition rates are significantly reduced. Furthermore, by identifying the junction patterns of parking slot markings around the designated point with a neural network-based classifier, the user can establish the target position with a uniform user interface. The proposed system showed a 91.10{\%} recognition rate in 191 test cases consisting of five different types of parking slot markings.",
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Uniform user interface for semiautomatic parking slot marking recognition. / Jung, Ho Gi; Lee, Yun Hee; Kim, Jaihie.

In: IEEE Transactions on Vehicular Technology, Vol. 59, No. 2, 5290105, 01.02.2010, p. 616-626.

Research output: Contribution to journalArticle

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