A novel obstacle detection method based on deformable grid for the visually impaired

Mun Cheon Kang, Sung Ho Chae, Jee Young Sun, Jin Woo Yoo, Sung Jea Ko

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)


To assist visually impaired people, a variety of obstacle detection (OD) methods with the monocular vision have been developed. Most conventional OD methods detect the obstacle by using the variation of the motion vector or the object size between two consecutive image frames. However, the OD performance using the short-term variation is significantly affected by the tracking error, which leads to inaccurate OD results. To cope with this problem, this paper presents a novel OD method based on a new structure, called Deformable Grid (DG). The DG is initially a regular gridshaped, but it can be deformed gradually depending on the motion of the object in the scene. The proposed method detects the object at risk of collision based on the degree of the deformation of the DG. Experimental results demonstrate that the proposed OD method outperforms the conventional ones in terms of processing time as well as accuracy.

Original languageEnglish
Article number7298298
Pages (from-to)376-383
Number of pages8
JournalIEEE Transactions on Consumer Electronics
Issue number3
Publication statusPublished - 2015 Aug 1


  • Electronic Travel AIDS (ETA)
  • Obstacle detection
  • Time to Contact (TTC)
  • collision detection
  • visually impaired

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering

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