Evaluation of a Novel Radar Based Scanning Method

Download statistics - Document (COUNTER):

Fritsche, Paul; Wagner, Bernardo: Evaluation of a Novel Radar Based Scanning Method. In: Journal of Sensors 2016 (2016), 6952075. DOI: http://dx.doi.org/10.1155/2016/6952075

Repository version

To cite the version in the repository, please use this identifier: https://doi.org/10.15488/742

Selected time period:

year: 
month: 

Sum total of downloads: 126




Thumbnail
Abstract: 
The following paper introduces a novel scanning method for mapping and localization purposes in mobile robotics. Our method is based on a rotating monostatic radar network, which determines the positions of objects around the scanner via a continuously running lateration algorithm. The estimation of surfaces with ultrawideband radar networks has been studied experimentally in lab environments, especially with lateration, envelopes of spheres, and SEABED algorithms. But we do not see a link to the field of mapping and localization of mobile robots, where laser scanners are dominating. Indeed, only few research groups use radars for mapping and localization, but their applied sensor principle is based on a rotating focused radar beam. Consequently, only 2D radar scanners are known inside the robotic world and methods for 3D scanning with radars need to be investigated. This paper will derive the theoretical background of the sensor principle, which is based on a radar network on a rotating joint, and discuss its erroneous influences. We were performing first scans of standard geometries and deriving a model in order to compare theoretical and experimental measurement results. Furthermore, we present first mapping approaches and a simulation of a scanner with multiple sensors.
License of this version: CC BY 3.0
Document Type: article
Publishing status: publishedVersion
Issue Date: 2016
Appears in Collections:Fakultät für Elektrotechnik und Informatik

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 116 92.06%
2 image of flag of India India 2 1.59%
3 image of flag of China China 2 1.59%
4 image of flag of Argentina Argentina 2 1.59%
5 image of flag of Thailand Thailand 1 0.79%
6 image of flag of Malaysia Malaysia 1 0.79%
7 image of flag of Kenya Kenya 1 0.79%
8 image of flag of Israel Israel 1 0.79%

Further download figures and rankings:


Hinweis

Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.

Search the repository


Browse