Blar i NTNU Open på forfatter "Kohtala, Sampsa"
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Automated Quantification of Human Osteoclasts Using Object Detection
Kohtala, Sampsa; Nedal, Tonje Marie Vikene; Carlo, Kriesi; Moen, Siv Helen; Ma, Qianli; Ødegaard, Kristin Sirnes; Standal, Therese; Steinert, Martin (Peer reviewed; Journal article, 2022)A balanced skeletal remodeling process is paramount to staying healthy. The remodeling process can be studied by analyzing osteoclasts differentiated in vitro from mononuclear cells isolated from peripheral blood or from ... -
Detecting glass and metal in consumer trash bags during waste collection using convolutional neural networks
Funch, Oliver Istad; Marhaug, Robert; Kohtala, Sampsa; Steinert, Martin (Peer reviewed; Journal article, 2020)We present a proof-of-concept method to classify the presence of glass and metal in consumer trash bags. With the prevalent utilization of waste collection trucks in municipal solid waste management, the aim of this method ... -
From Hand-Drawn Sketching to Laser Cutting - A Proof of Concept Prototype and Pilot Study
Kohtala, Sampsa; Steinert, Martin (Journal article; Peer reviewed, 2019)Sketching ideas and building physical prototypes are common in early stage product development. They are used for learning, testing ideas, proving concepts and sharing knowledge. Laser cutting is a popular tool for making ... -
Insights for Prototyping AIBased Concepts in Fuzzy Front- End Product Development
Kohtala, Sampsa (Doctoral theses at NTNU;2023:359, Doctoral thesis, 2023)This thesis investigates the use of artificial intelligence (AI) in the early stages of product development (PD) to enhance problem-solving and prototyping. By leveraging AI's ability to perform complicated tasks traditionally ... -
Leveraging synthetic data from CAD models for training object detection models – a VR industry application case
Kohtala, Sampsa; Steinert, Martin (Peer reviewed; Journal article, 2021)In this paper we evaluate the applicability of using synthetic data, based on computer aided design models, to automatically detect objects in the real world. The aim is to enable scalable deep learning-based object detection ... -
Lower Limb Transtibial Prosthetic Socket Transversal Rotation Resistance – Comparison of Five Different Suspension Systems in a Mock Limb
Modalsli, Eivind; Tan, Alex; Bakke, Marie Langnes; Roeleveld, Karin; Eikevåg, Sindre Wold; Kohtala, Sampsa; Aasland,Knut Einar; Steinert, Martin (Master thesis, 2021)SAMMENDRAG Introduksjon. Komfort og stabilitet er viktige faktorer ved tilvirkning av protesehylse til amputasjonsstumpen hos personer med amputasjon av underekstremiteten og påvirkes av trykk, forskyvning og friksjon. ... -
Photogrammetry-based 3D scanning for supporting design activities and testing in early stage product development
Kohtala, Sampsa; Erichsen, Jorgen Falck; Wullum, Ole Petter; Steinert, Martin (Peer reviewed; Journal article, 2021)In the early stages of product development and design, physical prototypes are designed and built from varying materials with the aim of providing valuable experience and decision support for the project team. In the era ... -
Vision-based positioning of Unmanned Surface Vehicles using Fiducial Markers for automatic docking
Digerud, Lars; Volden, Øystein; Christensen, Kim Alexander; Kohtala, Sampsa; Steinert, Martin (Peer reviewed; Journal article, 2022)This paper describes a method of using fiducial markers to aid Unmanned Surface Vehicles (USVs) as an additional positioning source during auto-docking. Vision-based techniques allow USVs to localize themselves relative ...