A Robust Method for Detecting Parking Areas in Both Indoor and Outdoor Environments

Although an automatic parking system has been installed in many vehicles recently, it is still hard for the system to confirm by itself whether a vacant parking area truly exists or not. In this paper, we introduced a robust vision-based vacancy parking area detecting method for both indoor and outd...

Full description

Saved in:
Bibliographic Details
Published inSensors (Basel, Switzerland) Vol. 18; no. 6; p. 1903
Main Authors Zong, Wenhao, Chen, Qijun
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 11.06.2018
MDPI
Subjects
computer vision
image mosaic
Indoor environments
Outdoor air quality
Parking
parking area detection
Parking facilities
Stitching
image mosaic
computer vision
parking area detection
Online AccessGet full text

Cover

More Information
Summary:Although an automatic parking system has been installed in many vehicles recently, it is still hard for the system to confirm by itself whether a vacant parking area truly exists or not. In this paper, we introduced a robust vision-based vacancy parking area detecting method for both indoor and outdoor environments. The main contribution of this paper is given as follows. First, an automatic image stitching method is proposed. Secondly, the problem of environment illuminating change and line color difference is considered and solved. Thirdly, the proposed algorithm is insensitive to the shadow and scene diversity, which means the detecting result satisfies most of the environment. Finally, a vehicle model is considered for tracking and reconfirming the detecting results to eliminate most of the false positives.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1424-8220
1424-8220
DOI:10.3390/s18061903