Annette Stahl

About Annette Stahl

Annette Stahl, With an exceptional h-index of 15 and a recent h-index of 13 (since 2020), a distinguished researcher at Norges teknisk-naturvitenskaplige universitet, specializes in the field of Robotic Vision, Computer Vision, Machine Learning, Autonomous Platforms, Robotics.

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

Rgb-d mapping and tracking in a plenoxel radiance field

Robust Hole-Detection in Triangular Meshes Irrespective of the Presence of Singular Vertices

Advancing Data Quality of Marine Archaeological Documentation Using Underwater Robotics: From Simulation Environments to Real-World Scenarios

Maritime radar odometry inspired by visual odometry

Development and experimental validation of visual-inertial navigation for auto-docking of unmanned surface vehicles

Implications of single-stage deep learning networks in real-time zooplankton identification

Maritime tracking with georeferenced multi-camera fusion

UVS: underwater visual SLAM—a robust monocular visual SLAM system for lifelong underwater operations

Annette Stahl Information

University

Position

Associate Professor Dept. Engineering Cybernetics

Citations(all)

1024

Citations(since 2020)

848

Cited By

359

hIndex(all)

15

hIndex(since 2020)

13

i10Index(all)

17

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Annette Stahl Skills & Research Interests

Robotic Vision

Computer Vision

Machine Learning

Autonomous Platforms

Robotics

Top articles of Annette Stahl

Title

Journal

Author(s)

Publication Date

Rgb-d mapping and tracking in a plenoxel radiance field

Andreas L Teigen

Yeonsoo Park

Annette Stahl

Rudolf Mester

2024

Robust Hole-Detection in Triangular Meshes Irrespective of the Presence of Singular Vertices

Computer-Aided Design

Mauhing Yip

Annette Stahl

Christian Schellewald

2024/2/28

Advancing Data Quality of Marine Archaeological Documentation Using Underwater Robotics: From Simulation Environments to Real-World Scenarios

Journal of Computer Applications in Archaeology

Eleni Diamanti

Mauhing Yip

Annette Stahl

Øyvind Ødegård

2024/2/21

Maritime radar odometry inspired by visual odometry

Henrik D Flemmen

Rudolf Mester

Annette Stahl

Torleiv H Bryne

Edmund Førland Brekke

2023/6/27

Development and experimental validation of visual-inertial navigation for auto-docking of unmanned surface vehicles

IEEE Access

Øystein Volden

Annette Stahl

Thor I Fossen

2023/5/9

Implications of single-stage deep learning networks in real-time zooplankton identification

CURRENT SCIENCE

Sadaf Ansari

Dattesh V Desai

Aya Saad

Annette Stahl

2023/12/10

Maritime tracking with georeferenced multi-camera fusion

IEEE Access

Øystein K Helgesen

Annette Stahl

Edmund F Brekke

2023/3/24

UVS: underwater visual SLAM—a robust monocular visual SLAM system for lifelong underwater operations

Autonomous Robots

Marco Leonardi

Annette Stahl

Edmund Førland Brekke

Martin Ludvigsen

2023/12

Monitoring algal blooms with complementary sensors on multiple spatial and temporal scales

David Roddan Williamson

Glaucia Moreira Fragoso

Sanna Kristiina Majaneva

Alberto Dallolio

Daniel Ørnes Halvorsen

...

2023/1/19

Removing Adverse Volumetric Effects From Trained Neural Radiance Fields

arXiv preprint arXiv:2311.10523

Andreas L Teigen

Mauhing Yip

Victor P Hamran

Vegard Skui

Annette Stahl

...

2023/11/17

Experimental validation of camera-based maritime collision avoidance for autonomous urban passenger ferries

Øystein Kaarstad Helgesen

Emil Hjelseth Thyri

Edmund Førland Brekke

Annette Stahl

Morten Breivik

2023

Multiscan Shape Estimation for Extended Object Tracking

Michael Ernesto López

Edmund Brekke

Rudolf Mester

Annette Stahl

2023/6/27

Motion trajectory estimation of salmon using stereo vision

IFAC-PapersOnLine

Trym Anthonsen Nygård

Jan Henrik Jahren

Christian Schellewald

Annette Stahl

2022/1/1

Hole detection in aquaculture net cages from video footage

Arild Madshaven

Christian Schellewald

Annette Stahl

2022/3/4

Vision-based Real-time Zooplankton Detection and Classification using Faster R-CNN

Authorea Preprints

Sadaf Ansari

Aya Saad

Annette Stahl

Madhan Rajachandran

2022/11/23

Irregularity detection in net pens exploiting Computer Vision

IFAC-PapersOnLine

Christian Schellewald

Annette Stahl

2022/1/1

Robust deep unsupervised learning framework to discover unseen plankton species

Eivind Salvesen

Aya Saad

Annette Stahl

2022/3/4

Compact multimodal multispectral sensor system for tactical reconnaissance

Trym V Haavardsholm

Thomas O Opsahl

Torbjørn Skauli

Annette Stahl

2022/9/30

Detecting and suppressing marine snow for underwater visual slam

Lars Martin Hodne

Eirik Leikvoll

Mauhing Yip

Andreas Langeland Teigen

Annette Stahl

...

2022

MOG: a background extraction approach for data augmentation of time-series images in deep learning segmentation

Jonas Nagell Borgersen

Aya Saad

Annette Stahl

2022/3/4

See List of Professors in Annette Stahl University(Norges teknisk-naturvitenskaplige universitet)