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:

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

Rgb-d mapping and tracking in a plenoxel radiance field

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

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

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

Removing Adverse Volumetric Effects From Trained Neural Radiance Fields

Multiscan Shape Estimation for Extended Object Tracking

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

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

Computer-Aided Design

2024/2/28

Annette Stahl
Annette Stahl

H-Index: 6

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

Journal of Computer Applications in Archaeology

2024/2/21

Rgb-d mapping and tracking in a plenoxel radiance field

2024

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

2023

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

CURRENT SCIENCE

2023/12/10

Aya Saad
Aya Saad

H-Index: 2

Annette Stahl
Annette Stahl

H-Index: 6

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

Autonomous Robots

2023/12

Removing Adverse Volumetric Effects From Trained Neural Radiance Fields

arXiv preprint arXiv:2311.10523

2023/11/17

Annette Stahl
Annette Stahl

H-Index: 6

Rudolf Mester
Rudolf Mester

H-Index: 16

Multiscan Shape Estimation for Extended Object Tracking

2023/6/27

Maritime radar odometry inspired by visual odometry

2023/6/27

Rudolf Mester
Rudolf Mester

H-Index: 16

Annette Stahl
Annette Stahl

H-Index: 6

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

IEEE Access

2023/5/9

Annette Stahl
Annette Stahl

H-Index: 6

Maritime tracking with georeferenced multi-camera fusion

IEEE Access

2023/3/24

Annette Stahl
Annette Stahl

H-Index: 6

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

2023/1/19

Recent advances in visual sensing and machine learning techniques for in-situ plankton-taxa classification

2022/11/23

Aya Saad
Aya Saad

H-Index: 2

Annette Stahl
Annette Stahl

H-Index: 6

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

Authorea Preprints

2022/11/23

Aya Saad
Aya Saad

H-Index: 2

Annette Stahl
Annette Stahl

H-Index: 6

Compact multimodal multispectral sensor system for tactical reconnaissance

2022/9/30

Annette Stahl
Annette Stahl

H-Index: 6

Campaign for hyperspectral data validation in north atlantic coastal waters

2022/9/13

Heterogeneous multi-sensor tracking for an autonomous surface vehicle in a littoral environment

Ocean Engineering

2022/5/15

Project Descriptions 2023

2022/4

Annette Stahl
Annette Stahl

H-Index: 6

Hole detection in aquaculture net cages from video footage

2022/3/4

Annette Stahl
Annette Stahl

H-Index: 6

Robust deep unsupervised learning framework to discover unseen plankton species

2022/3/4

Aya Saad
Aya Saad

H-Index: 2

Annette Stahl
Annette Stahl

H-Index: 6

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