Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 131-136 |
| Seitenumfang | 6 |
| Fachzeitschrift | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Jahrgang | 34 |
| Publikationsstatus | Veröffentlicht - 2003 |
| Veranstaltung | 2003 ISPRS Workshop on Photogrammetric Image Analysis, PIA 2003 - Munich, Deutschland Dauer: 17 Sept. 2003 → 19 Sept. 2003 |
Abstract
Today’s car navigation systems provide driving instructions in the form of maps, pictograms, and spoken language. However, they are so far not able to support landmark-based navigation, which is the most natural navigation concept for humans and which also plays an important role for upcoming personal navigation systems. In order to provide such a navigation, the first step is to identify appropriate landmarks – a task that seems to be rather easy at first sight but turns out to be quite pretentious considering the challenge to deliver such information for databases covering huge areas of Europe, Northern America and Japan. In this paper, we show approaches to extract landmarks from existing GIS databases. Since these databases in general do not contain information on building heights and visibility, we show how this can be derived from laser scanning data.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Information systems
- Sozialwissenschaften (insg.)
- Geografie, Planung und Entwicklung
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in: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Jahrgang 34, 2003, S. 131-136.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Extracting landmarks for car navigation systems using existing GIS databases and laser scanning
AU - Brenner, C.
AU - Elias, B.
PY - 2003
Y1 - 2003
N2 - Today’s car navigation systems provide driving instructions in the form of maps, pictograms, and spoken language. However, they are so far not able to support landmark-based navigation, which is the most natural navigation concept for humans and which also plays an important role for upcoming personal navigation systems. In order to provide such a navigation, the first step is to identify appropriate landmarks – a task that seems to be rather easy at first sight but turns out to be quite pretentious considering the challenge to deliver such information for databases covering huge areas of Europe, Northern America and Japan. In this paper, we show approaches to extract landmarks from existing GIS databases. Since these databases in general do not contain information on building heights and visibility, we show how this can be derived from laser scanning data.
AB - Today’s car navigation systems provide driving instructions in the form of maps, pictograms, and spoken language. However, they are so far not able to support landmark-based navigation, which is the most natural navigation concept for humans and which also plays an important role for upcoming personal navigation systems. In order to provide such a navigation, the first step is to identify appropriate landmarks – a task that seems to be rather easy at first sight but turns out to be quite pretentious considering the challenge to deliver such information for databases covering huge areas of Europe, Northern America and Japan. In this paper, we show approaches to extract landmarks from existing GIS databases. Since these databases in general do not contain information on building heights and visibility, we show how this can be derived from laser scanning data.
KW - Car navigation
KW - GIS
KW - Landmarks
KW - Laser scanning
UR - http://www.scopus.com/inward/record.url?scp=33646131291&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:33646131291
VL - 34
SP - 131
EP - 136
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SN - 1682-1750
T2 - 2003 ISPRS Workshop on Photogrammetric Image Analysis, PIA 2003
Y2 - 17 September 2003 through 19 September 2003
ER -