Laura Ruotsalainen

Laura Ruotsalainen

Helsingin yliopisto

H-index: 20

Europe-Finland

About Laura Ruotsalainen

Laura Ruotsalainen, With an exceptional h-index of 20 and a recent h-index of 14 (since 2020), a distinguished researcher at Helsingin yliopisto, specializes in the field of #UnivHelsinkiCS, Navigation, Computer vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Defining Data Model Quality Metrics for Data Vault 2.0 Model Evaluation

Multi-Objective Deep Reinforcement Learning for 5G Base Station Placement to Support Localisation for Future Sustainable Traffic

An INS-assisted vector tracking receiver with multipath error estimation for dense urban canyons

The Present and Future of Indoor Navigation

A Novel Cross-attention Based Pedestrian Visual-Inertial Odometry with Analyses Demonstrating Challenges in Dense Optical Flow

Needs for drone education in Finland. University collaboration network drone survey summary report

Sustainable Urban Development Emerging from Cut-ting-edge Climate, Social and Computer Sciences

Non-Lambertian surfaces and their challenges for visual SLAM

Laura Ruotsalainen Information

University

Position

Associate Professor Spatiotemporal Data Analysis Dept. of Computer Science

Citations(all)

1460

Citations(since 2020)

929

Cited By

863

hIndex(all)

20

hIndex(since 2020)

14

i10Index(all)

37

i10Index(since 2020)

22

Email

University Profile Page

Helsingin yliopisto

Google Scholar

View Google Scholar Profile

Laura Ruotsalainen Skills & Research Interests

#UnivHelsinkiCS

Navigation

Computer vision

Top articles of Laura Ruotsalainen

Title

Journal

Author(s)

Publication Date

Defining Data Model Quality Metrics for Data Vault 2.0 Model Evaluation

Inventions

Heli Helskyaho

Laura Ruotsalainen

Tomi Männistö

2024/2/9

Multi-Objective Deep Reinforcement Learning for 5G Base Station Placement to Support Localisation for Future Sustainable Traffic

arXiv preprint arXiv:2404.14954

Ahmed Al-Tahmeesschi

Jukka Talvitie

Miguel López-Benítez

Hamed Ahmadi

Laura Ruotsalainen

2024/4/23

An INS-assisted vector tracking receiver with multipath error estimation for dense urban canyons

GPS Solutions

Z. Yan

L. Ruotsalainen

X. Chen

et al.

2023

The Present and Future of Indoor Navigation

Laura Ruotsalainen

Martti Kirkko-Jaakkola

Jukka Talvitie

2023

A Novel Cross-attention Based Pedestrian Visual-Inertial Odometry with Analyses Demonstrating Challenges in Dense Optical Flow

IEEE journal of indoor and seamless positioning and navigation

Ilari Pajula

Niclas Joswig

Aiden Morrison

Nadia Sokolova

Laura Ruotsalainen

2023/12/18

Needs for drone education in Finland. University collaboration network drone survey summary report

Rajeev Kanth

Kimmo Paajanen

Antti Perttula

Marjut Koskela

Maria Sjoholm

...

2023

Sustainable Urban Development Emerging from Cut-ting-edge Climate, Social and Computer Sciences

Niharika Singh

Laura Ruotsalainen

2023

Non-Lambertian surfaces and their challenges for visual SLAM

Sara Pyykölä

Niclas Joswig

Laura Ruotsalainen

2023/11/22

Improved deep depth estimation for environments with sparse visual cues

Machine vision and applications

Niclas Joswig

Juuso Autiosalo

Laura Ruotsalainen

2023/1

Simulation-based Origin-Destination Matrix Reduction: A Case Study of Helsinki City Area

Klavdiya Bochenina

Anton Taleiko

Laura Ruotsalainen

2023

Computer Vision Based Planogram Compliance Evaluation

Applied Sciences

Julius Laitala

Laura Ruotsalainen

2023/9/8

GNSS Jammer Localization in Urban Areas Based on Carrier-to-Noise Ratio and Classification Methods

Zhe Yan

Ahmed Al-Tahmeesschi

Titti Malmivirta

Laura Ruotsalainen

2023

Radio-Frequency Interference Considerations for Utility of the Galileo E6 Signal Based on Long-Term Monitoring by ARFIDAAS

NAVIGATION: Journal of the Institute of Navigation

Aiden Morrison

Nadezda Sokolova

Nicolai Gerrard

Anders Rødningsby

Christian Rost

...

2023/3/20

Towards Better Edges with Self-Supervised Depth Estimation

Available at SSRN 4474405

Niclas Joswig

Laura Ruotsalainen

2023

Towards Robust Visual Inertial Odometry in Feature Sparse Structured Environments

N. Joswig

A. Morrison

N. Sokolova

L. Ruotsalainen

2023

A CNN approach for 5G mm wave positioning using beamformed CSI measurements

Ghazaleh Kia

Laura Ruotsalainen

Jukka Talvitie

2022/6/7

Bridge over troubled water: managing compatibility and conflict among thought collectives in sustainability science

Sustainability Science

Niko Soininen

Christopher M Raymond

Hanna Tuomisto

Laura Ruotsalainen

Henrik Thorén

...

2022/1/1

Deep Learning-based Fingerprinting for Outdoor UE Positioning Utilising Spatially Correlated RSSs of 5G Networks

Ahmed Al-Tahmeesschi

Jukka Talvitie

Miguel López–Benítez

Laura Ruotsalainen

2022/6/7

Toward accurate indoor positioning: An RSS-based fusion of UWB and machine-learning-enhanced WiFi

Sensors

Ghazaleh Kia

Laura Ruotsalainen

Jukka Talvitie

2022/4/21

WHITE PAPER: Protecting GNSS against intentional interference

arXiv preprint arXiv:2208.11555

Arul Elango

Ahmed Al-Tahmeesschi

Mikko Saukkoriipi

Titti Malmivirta

Laura Ruotsalainen

2022/8/24

See List of Professors in Laura Ruotsalainen University(Helsingin yliopisto)

Co-Authors

H-index: 65
Gerard Lachapelle, Professor Emeritus

Gerard Lachapelle, Professor Emeritus

University of Calgary

H-index: 34
Ling Pei

Ling Pei

Shanghai Jiao Tong University

H-index: 33
Fabio Dovis

Fabio Dovis

Politecnico di Torino

H-index: 31
Liang Chen

Liang Chen

Wuhan University

H-index: 27
Kimmo Järvinen

Kimmo Järvinen

Helsingin yliopisto

H-index: 26
Shaojun Feng

Shaojun Feng

Imperial College London

academic-engine