Stephan Winter at The University of Melbourne - Research Interests, Publications & Academic Profile

Stephan Winter

University of Melbourne

Australia

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Research Interests

Cartography

40%

Transportation Engineering

50%

Indoor Positioning

50%

Spatial Navigation

30%

Traffic Management

30%

Human Mobility

30%

Location-based Services

20%

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Articles19

Aligning indoor human route descriptions to facilitate the use of crowdsourced indoor navigation systems

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Year:

2024

Automatic translation of human route descriptions into schematic maps for indoor navigation

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2024

Cognitive mapping of indoor environments: constructing an indoor navigation network from crowdsourced indoor route descriptions

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2024

The Challenge of Data Analytics with Climate-neutral Urban Mobility (Vision Paper)

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2024

Benchmarking Deep Learning Architectures for Urban Vegetation Point Cloud Semantic Segmentation From MLS

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2024

GreenSegNet: A Novel Deep Learning Architecture for Urban Vegetation Segmentation From MLS Data

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2024

A Visibility‐Based Multitree of a Space Subdivision for Indoor Localization

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2024

Measuring Perceived Walkability at the City Scale Using Open Data

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2024

Traffic Count Estimation at Basis Links Without Path Flow and Historic Data

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Year:

2023

Ad-hoc platoon formation and dissolution strategies for multi-lane highways

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Year:

2023

Enabling technologies for remote and virtual inspection of building work

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Year:

2023

Map-Matching Error Identification in the Absence of Ground Truth

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2022

Decentralized spreading of ephemeral road incident information between vehicles

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2022

Templates of generic geographic information for answering where-questions

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2022

Indoor landmark selection for route communication: the influence of route-givers’ social roles and receivers’ familiarity with the environment

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2021

Paths to social licence for tracking-data analytics in university research and services

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2021

RIM: a ray intersection model for the analysis of the between relationship of spatial objects in a 2D plane

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2021

Origin–Destination Flow Estimation from Link Count Data Only

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Year:

2020

A Recurrent Deep Network for Estimating the Pose of Real Indoor Images from Synthetic Image Sequences

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Year:

2020

Collaborators12

Debaditya Acharya

Lecturer

RMIT University

AUSTRALIA

Kourosh Khoshelham

University of Melbourne

AUSTRALIA

Subhrasankha Dey

University of Melbourne

AUSTRALIA

Simon Dennis

Professor

University of Melbourne

AUSTRALIA

Jagannath Aryal

Associate Professor

University of Melbourne

AUSTRALIA

Martin Tomko

Associate Professor

University of Melbourne

AUSTRALIA

Cheng Fu

Lecturer

University of Zurich

SWITZERLAND

Alexandra Millonig

AIT Austrian Institute of Technology GmbH

AUSTRIA

Ehsan Hamzei

University of Melbourne

AUSTRALIA

monika sester

Prof. Dr.-Ing. habil.

Leibniz University Hannover

GERMANY

Haosheng Huang

Prof. Dr.

Ghent University

BELGIUM

Nico Van de Weghe

Ghent University

BELGIUM

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