Summer Sale

Up to 30% off — ends 7 Aug

ONLY00h00m00s

Get 30% Off

Up to 30% off — ends 7 Aug

ONLY00h00m00s

Laura Ruotsalainen

University of Helsinki

Finland

This profile is automatically generated from trusted academic sources.

Google Scholar

ORCID

How do I reach out?

Meet Kite AI

Contact this professor

ORCID

Google Scholar

Academic Page

Research Interests

Internet Of Things

10%

Transportation Engineering

10%

Satellite Navigation

30%

Computer Vision

30%

Location-based Services

20%

Mimo Systems

20%

Obstacle Avoidance

10%

Ask ApplyKite AI

Start chatting

How can you help me contact this professor?

What are this professor's research interests?

How should I write an email to this professor?

Articles21

Creating a Historical Migration Dataset from Finnish Church Records, 1800–1920

Article Link

Year:

2025

Predicting summer indoor temperatures in Nordic apartments considering heatwaves forecasts

Article Link

Year:

2025

Long Short Term Memory Based Traffic Prediction Using Multi-Source Data

Article Link

Year:

2025

From Urban Data to City‐Scale Models: A Review of Traffic Simulation Case Studies

Article Link

Year:

2025

GNSS jammer localization in urban areas based on prediction/optimization and ray-tracing

Article Link

Year:

2025

Geometric Edge Modelling in Self‐Supervised Learning for Enhanced Indoor Depth Estimation

Article Link

Year:

2025

Time will not tell

Article Link

Year:

2024

Defining Data Model Quality Metrics for Data Vault 2.0 Model Evaluation

Article Link

Year:

2024

A Novel Cross-Attention-Based Pedestrian Visual–Inertial Odometry With Analyses Demonstrating Challenges in Dense Optical Flow

Article Link

Year:

2024

Non-Lambertian Surfaces and Their Challenges for Visual SLAM

Article Link

Year:

2024

Document Layout Error Rate (DLER) metric to evaluate image segmentation methods

Article Link

Year:

2024

Computer Vision Based Planogram Compliance Evaluation

Article Link

Year:

2023

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

Article Link

Year:

2023

Improved deep depth estimation for environments with sparse visual cues

Article Link

Year:

2023

Bridge over troubled water

Article Link

Year:

2022

A Novel Carrier Loop Based on Adaptive LM-QN Method in GNSS Receivers

Article Link

Year:

2022

Toward Accurate Indoor Positioning: An RSS-Based Fusion of UWB and Machine-Learning-Enhanced WiFi

Article Link

Year:

2022

Improving Computer Vision-Based Perception for Collaborative Indoor Navigation

Article Link

Year:

2022

A novel approach of creating sustainable urban planning solutions that optimise the local air quality and environmental equity in Helsinki, Finland

Article Link

Year:

2021

Recent Advancement on the Use of Global Navigation Satellite System-Based Positioning for Intelligent Transport Systems

Article Link

Year:

2020

The impact of innovative and emerging technologies on the surveying activities

Article Link

Year:

2020

Collaborators14

Klavdiya Bochenina

University of Helsinki

FINLAND

Michiru Nagatsu

University of Helsinki

FINLAND

Reetta Toivanen

University of Helsinki

FINLAND

Noora-Helena P Korpelainen

University of Helsinki

FINLAND

Ari Vesalainen

University of Helsinki

FINLAND

Rachel Mazac

University of Helsinki

FINLAND

Carlos Lamuela Orta

University of Helsinki

FINLAND

Jukka Talvitie

University of Tampere

FINLAND

Henrik Thorén

University of Helsinki

FINLAND

Sanna Lehtinen

Aalto University

FINLAND

Matti Leinonen

University of Helsinki

FINLAND

ZHE YAN

University of Helsinki

FINLAND

Niko Soininen

University of Helsinki

FINLAND

Tomi Männistö

University of Helsinki

FINLAND

How do I reach out?

Meet Kite AI

Laura Ruotsalainen

How do I reach out?

Contact this professor

Research Interests

Ask ApplyKite AI

Articles21

Creating a Historical Migration Dataset from Finnish Church Records, 1800&ndash;1920

Predicting summer indoor temperatures in Nordic apartments considering heatwaves forecasts

Long Short Term Memory Based Traffic Prediction Using Multi-Source Data

From Urban Data to City‐Scale Models: A Review of Traffic Simulation Case Studies

GNSS jammer localization in urban areas based on prediction/optimization and ray-tracing

Geometric Edge Modelling in Self‐Supervised Learning for Enhanced Indoor Depth Estimation

Time will not tell

Defining Data Model Quality Metrics for Data Vault 2.0 Model Evaluation

A Novel Cross-Attention-Based Pedestrian Visual–Inertial Odometry With Analyses Demonstrating Challenges in Dense Optical Flow

Non-Lambertian Surfaces and Their Challenges for Visual SLAM

Document Layout Error Rate (DLER) metric to evaluate image segmentation methods

Computer Vision Based Planogram Compliance Evaluation

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

Improved deep depth estimation for environments with sparse visual cues

Bridge over troubled water

A Novel Carrier Loop Based on Adaptive LM-QN Method in GNSS Receivers

Toward Accurate Indoor Positioning: An RSS-Based Fusion of UWB and Machine-Learning-Enhanced WiFi

Improving Computer Vision-Based Perception for Collaborative Indoor Navigation

A novel approach of creating sustainable urban planning solutions that optimise the local air quality and environmental equity in Helsinki, Finland

Recent Advancement on the Use of Global Navigation Satellite System-Based Positioning for Intelligent Transport Systems

The impact of innovative and emerging technologies on the surveying activities

Collaborators14

Klavdiya Bochenina

Michiru Nagatsu

Reetta Toivanen

Noora-Helena P Korpelainen

Ari Vesalainen

Rachel Mazac

Carlos Lamuela Orta

Jukka Talvitie

Henrik Thorén

Sanna Lehtinen

Matti Leinonen

ZHE YAN

Niko Soininen

Tomi Männistö

How do I reach out?

Creating a Historical Migration Dataset from Finnish Church Records, 1800–1920