Generation of environmental representation of a large indoor parking lot

Jung Ming Wang*, Chih Fan Hsu, Sei Wang Chen, Chiou Shann Fuh

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A technique for generating environmental representations of indoor parking lots is presented. The environmental representation of a parking lot is of use for the surveillance and management of the parking lot. The representation includes a map and an image, called the environmental map and the environmental image, respectively. Given the ceiling and floor plans of an indoor parking lot, we first determine the locations for installing omni-directional (OD) cameras such that the integrated fields of view (FOV) of the cameras cover the entire parking lot. After installing cameras, those monitoring views collected from the various cameras are then dewarped and mosaiced together to form an image of the whole environment. To test our method, we constructed a monitoring system for a model of parking lot that is scaled from a real one.

Original languageEnglish
Title of host publicationNeural Information Processing - 19th International Conference, ICONIP 2012, Proceedings
Pages307-315
Number of pages9
EditionPART 2
DOIs
Publication statusPublished - 2012
Event19th International Conference on Neural Information Processing, ICONIP 2012 - Doha, Qatar
Duration: 2012 Nov 122012 Nov 15

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7664 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Neural Information Processing, ICONIP 2012
Country/TerritoryQatar
CityDoha
Period2012/11/122012/11/15

Keywords

  • camera calibration
  • camera deployment
  • Covering problem
  • environment map
  • omni-directional camera
  • path planning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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