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John Folkesson

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Professor

KTH Royal Institute of Technology

Sweden

Research Interests

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Professors in Sweden

About

John Folkesson is an Associate Professor at KTH Royal Institute of Technology in Sweden. His research primarily focuses on underwater vehicle technology, including SLAM frameworks and localization methods utilizing neural rendering techniques. Recent publications highlight advancements in bathymetric surveying and mapping using side-scan sonar and deep learning approaches.

Recent Grants

Grant: Close

Representations of AUV Perception for Navigation

Open Date: 2019-12-01

Close Date: 2024-12-01

Grant: Close

SMARC Swedish Maritime Robotics Center

Open Date: 2017-03-01

Close Date: 2024-12-01

Grant: Close

iQPilot - Stadstransporter med autonoma tunga fordon

Open Date: 2016-06-01

Close Date: 2020-12-01

Grant: Close

Planning, Decision Making, and Sensing for Autonomous AUV Navigation

Open Date: 2015-07-01

Close Date: 2016-01-01

Grant: Close

iQMatic

Open Date: 2013-09-01

Close Date: 2016-12-01

Articles (16)

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2022

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2022

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2022

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2020

Collaborators (6)

Nils Bore

KTH Royal Institute of Technology

SWEDEN

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Christopher Sprague

KTH Royal Institute of Technology

SWEDEN

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Sriharsha Bhat

KTH Royal Institute of Technology

SWEDEN

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Mo Rastgaar

Purdue University

UNITED STATES

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Nina Mahmoudian

Associate Professor

Purdue University

UNITED STATES

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Yiping Xie

KTH Royal Institute of Technology

SWEDEN

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John Folkesson

Research Interests

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About

Recent Grants

Articles (16)

STERN: Simultaneous Trajectory Estimation and Relative Navigation for Autonomous Underwater Proximity Operations

Relative Navigation and Dynamic Target Tracking for Autonomous Underwater Proximity Operations

A Dense Subframe-Based SLAM Framework With Side-Scan Sonar

Airborne Underwater Vehicle Recovery System: Eagle-Inspired Trajectory Generation and Control for UAV-Assisted Recovery of AUVs

NeuRSS: Enhancing AUV Localization and Bathymetric Mapping With Neural Rendering for Sidescan SLAM

A Consistent Dataset for Dynamic Underwater Proximity Operations

Bathymetric Surveying With Imaging Sonar Using Neural Volume Rendering

A fully‐automatic side‐scan sonar simultaneous localization and mapping framework

Bathymetric Reconstruction From Sidescan Sonar With Deep Neural Networks

Neural Shape-From-Shading for Survey-Scale Self-Consistent Bathymetry From Sidescan

Neural Network Normal Estimation and Bathymetry Reconstruction From Sidescan Sonar

Online Stochastic Variational Gaussian Process Mapping for Large-Scale Bathymetric SLAM in Real Time

Fully-Probabilistic Terrain Modelling and Localization With Stochastic Variational Gaussian Process Maps

Sidescan Only Neural Bathymetry from Large-Scale Survey

A System for Autonomous Seaweed Farm Inspection with an Underwater Robot

PointNetKL: Deep Inference for GICP Covariance Estimation in Bathymetric SLAM

Collaborators (6)

Nils Bore

Christopher Sprague

Sriharsha Bhat

Mo Rastgaar

Nina Mahmoudian

Yiping Xie

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