Böker, Clarissa and Niemeijer, Joshua and Wojke, Nicolai and Meurie, Cyril and Cocheril, Yann (2019) A System for Image-Based Non-Line-Of-Sight Detection Using Convolutional Neural Networks. In: 2019 IEEE Intelligent Transportation Systems Conference (ITSC), pp. 535-540. IEEE. ITSC 2019, 27.-30. Okt. 2019, Auckland, New Zealand. doi: 10.1109/ITSC.2019.8917272. ISBN 978-1-5386-7024-8.
Full text not available from this repository.
Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8917272&isnumber=8916833
Abstract
The ERSAT GGC project introduces the concept of virtual balises for train localization, which avoids investment and maintenance costs of physical balises. Since this concept relies on the matching of train positions to balise positions stored in a database, it is dependent on placing virtual balises in track areas with unimpeded GNSS reception. One factor majorly contributing to the distortion of GNSS signals is the non-line-of-sight (NLOS) scenario where the direct path between a satellite and the receiver on the train is blocked. As these NLOS situations result in deflections or the total absence of GNSS signals, this paper proposes a system to identify obstacles occluding the visibility of satellites above the tracks traversed by a train. This is achieved by video recording the sky from the roof of the train and segmenting the images into sky and non-sky regions. The line-of-sight status of individual satellites is found through projecting the known satellite locations into the segmented images. Consequently, the information whether a satellite is located in a sky or non-sky segment of the image allows for a determination of the GNSS performance at any observed track area.
Item URL in elib: | https://elib.dlr.de/130942/ | ||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||
Title: | A System for Image-Based Non-Line-Of-Sight Detection Using Convolutional Neural Networks | ||||||||||||||||||
Authors: |
| ||||||||||||||||||
Date: | 28 November 2019 | ||||||||||||||||||
Journal or Publication Title: | 2019 IEEE Intelligent Transportation Systems Conference (ITSC) | ||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||
Open Access: | No | ||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||
In SCOPUS: | No | ||||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||||
DOI: | 10.1109/ITSC.2019.8917272 | ||||||||||||||||||
Page Range: | pp. 535-540 | ||||||||||||||||||
Publisher: | IEEE | ||||||||||||||||||
ISBN: | 978-1-5386-7024-8 | ||||||||||||||||||
Status: | Published | ||||||||||||||||||
Keywords: | Non-Line-Of-Sight Detection, Convolutional Neural Networks | ||||||||||||||||||
Event Title: | ITSC 2019 | ||||||||||||||||||
Event Location: | Auckland, New Zealand | ||||||||||||||||||
Event Type: | international Conference | ||||||||||||||||||
Event Dates: | 27.-30. Okt. 2019 | ||||||||||||||||||
Organizer: | IEEE Intelligent Transportation Systems Society | ||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||
HGF - Program: | Transport | ||||||||||||||||||
HGF - Program Themes: | Rail Transport | ||||||||||||||||||
DLR - Research area: | Transport | ||||||||||||||||||
DLR - Program: | V SC Schienenverkehr | ||||||||||||||||||
DLR - Research theme (Project): | V - Digitalisierung und Automatisierung des Bahnsystems | ||||||||||||||||||
Location: | Braunschweig | ||||||||||||||||||
Institutes and Institutions: | Institute of Transportation Systems | ||||||||||||||||||
Deposited By: | Böker, Clarissa | ||||||||||||||||||
Deposited On: | 27 Nov 2019 09:33 | ||||||||||||||||||
Last Modified: | 20 Jun 2021 15:53 |
Repository Staff Only: item control page