External Vehicle Positioning System Using Multiple Fish-Eye Surveillance Cameras for Indoor Parking Lots

Sung Tae Kim, Ming Fan, Seung Won Jung, Sung Jea Ko

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The autonomous positioning of a vehicle predominantly relies on the global positioning system (GPS). However, in indoor environments, such as tunnels and indoor parking lots, the accuracy of GPS-based positioning can be significantly reduced due to weak GPS signals. To this end, we develop an accurate indoor vehicle positioning system using multiple fish-eye surveillance cameras. Our system first extracts vehicle segments from the top-view image of each fish-eye camera. These segments are then integrated into a common undistorted coordinate system. The center of the vehicle is finally determined using our simple but effective box fitting method. Moreover, a 1/18 scale indoor parking lot is designed to evaluate the performance of the proposed system. Throughout our experiments, we obtained average positioning errors of 30 or 24 cm in the regions covered by a single camera or multiple cameras, respectively.

Original languageEnglish
Pages (from-to)5107-5118
Number of pages12
JournalIEEE Systems Journal
Volume15
Issue number4
DOIs
Publication statusPublished - 2021 Dec 1

Keywords

  • Fish-eye camera
  • image segmentation
  • indoor navigation
  • surveillance system
  • vehicle positioning

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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