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Large-scale 3D Roadside Modelling with Road Geometry Analysis: Digital Roads New Zealand

Ernst, Ines and Zhang, Hongmou and Zuev, Sergey and Knoche, Martin and Dhiman, Amita and Chien, Hsiang-Jen and Klette, Reinhard (2018) Large-scale 3D Roadside Modelling with Road Geometry Analysis: Digital Roads New Zealand. 15th Int. Symp. Pervasive Systems, Algorithms and Networks, IEEE online, YiChang, China, 2018, 2018-10-16 - 2018-10-18, YiChang, China. doi: 10.1109/I-SPAN.2018.00013.

Full text not available from this repository.

Abstract

Latest developments in camera technology and computer vision, as well as in computer and communication technologies, contribute to improving safety on roads by the development of new key technologies, such as autonomous driving or driverassistance systems. These new technologies need to be tested extensively and purposefully, and supported by environment or infrastructure models or integrated sensors. The paper reports about a project Digital Roads New Zealand. Novel sensor technologies, including stereo vision and odometry, have been used for recording, modelling and analysing a large test site. It is demonstrated how those data can be used for detecting changes in road geometry, such as various forms of road surface distress. An important novelty of the shown solution is the scale of the project (i.e. size of the digitised area using car-mounted sensors) together with the achieved very high accuracy in road-geometry analysis.

Item URL in elib:https://elib.dlr.de/124145/
Document Type:Conference or Workshop Item (Speech)
Title:Large-scale 3D Roadside Modelling with Road Geometry Analysis: Digital Roads New Zealand
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Ernst, InesUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zhang, HongmouUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zuev, SergeyUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Knoche, MartinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dhiman, AmitaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Chien, Hsiang-JenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Klette, ReinhardUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2018
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.1109/I-SPAN.2018.00013
Status:Published
Keywords:road geometry, environment modelling, pothole detection, visual odometry, optical navigation, sensor systems
Event Title:15th Int. Symp. Pervasive Systems, Algorithms and Networks, IEEE online, YiChang, China, 2018
Event Location:YiChang, China
Event Type:international Conference
Event Start Date:16 October 2018
Event End Date:18 October 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Terrestrial Vehicles (old)
DLR - Research area:Transport
DLR - Program:V BF - Bodengebundene Fahrzeuge
DLR - Research theme (Project):V - Fahrzeugintelligenz (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Optical Sensor Systems > Real-Time Data Processing
Deposited By: Ernst, Ines
Deposited On:04 Dec 2018 12:19
Last Modified:07 Jun 2024 11:01

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