Search Results - "Linden, Joakim"

Autonomous Realization of Safety- and Time-Critical Embedded Artificial Intelligence by Linden, Joakim, Ermedahl, Andreas, Salomonsson, Hans, Daneshtalab, Masoud, Forsberg, Bjorn, Carbone, Paris

“…There is an evident need to complement embedded critical control logic with AI inference, but today's AI-capable hardware, software, and processes are…”
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Enhancing Drone Surveillance with NeRF: Real-World Applications and Simulated Environments by Linden, Joakim, Burresi, Giovanni, Forsberg, Hakan, Daneshtalab, Masoud, Soderquis, Ingemar

“…Machine Learning (ML) systems require representative and diverse datasets to accurately learn the objective task. In supervised learning data needs to be…”
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The Importance of a System-Level Approach When Bringing in New Technologies in Avionics by Forsberg, Hakan, Forsberg, Kristina, Linden, Joakim

“…In the era of multiple industry trends and new technologies, avionics systems can benefit from several innovations. The complexity of modern electronics is…”
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Challenges in Using Neural Networks in Safety-Critical Applications by Forsberg, Hakan, Linden, Joakim, Hjorth, Johan, Manefjord, Torbjorn, Daneshtalab, Masoud

“…In this paper, we discuss challenges when using neural networks (NNs) in safety-critical applications. We address the challenges one by one, with aviation…”
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Curating Datasets for Visual Runway Detection by Linden, Joakim, Forsberg, Hakan, Haddad, Josef, Tagebrand, Emil, Cedernaes, Erasmus, Gustafsson Ek, Emil, Daneshtalab, Masoud

“…In Machine Learning systems, several factors impact the performance of a trained model. The most important ones include model architecture, the amount of…”
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