Suitability of Different LIDAR Data Sets for 3D Mapping of the Road Environment Eignung unterschiedlicher LIDAR Datensätze für die 3D Digitalisierung des Straβenraumes

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Abstract:

This paper presents a comparative study of LIDAR data sets and their suitability for 3D road environment mapping. For this purpose three data sets from different acquisition platforms are studied with consideration being given to not only the vectorization of elements on the road surface but also the detection of road furniture objects. While test digitizations are carried out manually, the potential of the data for automatic approaches is discussed using the methods found in recent literature as a basis. The focus of the study is to point out the strengths and weaknesses of the data sets for road mapping tasks. The results show that the decision for various data acquisition platforms is highly dependent on the final purpose for which the data is collected.

German
Dieser Beitrag beschreibt eine vergleichende Studie von LIDAR Datensätzen hinsichtlich ihrer Eignung für die 3D Erfassung des Straßenraumes. Dazu werden drei Datensätze aus unterschiedlichen Aufnahmeplattformen untersucht. Die Untersuchung umfasst neben Elementen auf der Straßenoberfläche auch die Erfassbarkeit von Objekten des Straßenmobiliars. Während im Rahmen dieser Arbeit manuelle Testdigitalisierungen durchgeführt wurden, wird das Potenzial der Daten für automatische Methoden anhand von Veröffentlichungen der vergangenen Jahre diskutiert. Die Studie zeigt Vor- und Nachteile der unterschiedlichen Datensätze für die Straßenraumerfassung auf. Die Untersuchung macht deutlich, dass die Entscheidung für die eine oder andere Aufnahmeplattform hauptsächlich davon abhängt, für welchen Zweck die Daten letztendlich verwendet werden sollen.

Keywords: 3D DIGITIZATION; 3D ROAD MAPPING; AIRBORNE LASER SCANNING; MOBILE LASER SCANNING

Document Type: Research Article

DOI: http://dx.doi.org/10.1127/0935-1221/2009/0010

Publication date: May 1, 2009

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  • Photogrammetrie - Fernerkundung - Geoinformation (PFG) is an international scholarly journal covering the progress and application of photogrammetric methods, remote sensing technology and the intricately connected field of geoinformation processing.

    Papers published in PFG highlight new developments and applications of these technologies in practice. The journal hence addresses both researchers and student of these disciplines at academic institutions and universities and the downstream users in both the private sector and public administration.

    PFG places special editorial emphasis on the communication of new methodologies in data acquisition, new approaches to optimized processing and interpretation of all types of data which were acquired by photogrammetric methods, remote sensing, image processing and the computer-aided interpretation of such data in general.

    PFG is the official journal of the German Society of Photogrammetry and Remote Sensing.
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