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Rule-based Mapping of Parked Vehicles using Aerial Image Sequences

Knöttner, Julia and Rosenbaum, Dominik and Kurz, Franz and Reinartz, Peter and Brunn, Ansgar (2019) Rule-based Mapping of Parked Vehicles using Aerial Image Sequences. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV2/W7, pp. 95-101. PIA Photogrammetric Image Analysis, 18.-20. Sep. 2019, München. doi: 10.5194/isprs-annals-IV-2-W7-95-2019. ISSN 2194-9042.

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Official URL: http://www.pf.bgu.tum.de/isprs/pia19/

Abstract

Mapping of parking spaces in cities is a prerequisite for future applications in parking space management like community-based parking. Although terrestrial or vehicle based sensors will be the favorite data source for parking space mapping, airborne monitoring can play a role in building up city wide basis maps which include also parking spaces on ancillary and suburban roads. We present a novel framework for automatic city wide classification of vehicles in moving, stopped and parked using aerial image sequences and information from a road database. The time span of observation of a specific vehicle during an image sequence is usually not long enough to decide unambiguously, whether a vehicle stopped e.g. before a traffic light or is parking along the road. Thus, the workflow includes a vehicle detection and tracking method as well as a rule-based fuzzy-logic workflow for the classification of vehicles. The workflow classifies stopped and parked vehicles by including the neighbourhood of each vehicle via a Delaunay-Graph. The presented method reaches correctness values of around 86.3%, which is demonstrated using three different aerial image sequences. The results depend on several factors like detection quality and road database accuracy.

Item URL in elib:https://elib.dlr.de/128042/
Document Type:Conference or Workshop Item (Poster)
Title:Rule-based Mapping of Parked Vehicles using Aerial Image Sequences
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Knöttner, Juliajulia.knoettner (at) gmx.deUNSPECIFIED
Rosenbaum, DominikDominik.Rosenbaum (at) dlr.deUNSPECIFIED
Kurz, Franzfranz.kurz (at) dlr.dehttps://orcid.org/0000-0003-1718-0004
Reinartz, Peterpeter.reinartz (at) dlr.dehttps://orcid.org/0000-0002-8122-1475
Brunn, Ansgaransgar.brunn (at) fhws.deUNSPECIFIED
Date:2019
Journal or Publication Title:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:IV2/W7
DOI :10.5194/isprs-annals-IV-2-W7-95-2019
Page Range:pp. 95-101
Series Name:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ISSN:2194-9042
Status:Published
Keywords:Aerial Image Sequences, Vehicle Detection, Vehicle Tracking, Parking Space Mapping, Fuzzy Logic
Event Title:PIA Photogrammetric Image Analysis
Event Location:München
Event Type:international Conference
Event Dates:18.-20. Sep. 2019
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - D.MoVe
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Kurz, Dr.-Ing. Franz
Deposited On:24 Jun 2019 16:24
Last Modified:05 Dec 2019 16:33

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  • Rule-based Mapping of Parked Vehicles using Aerial Image Sequences. (deposited 24 Jun 2019 16:24) [Currently Displayed]

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