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staff:kuzmic [2021-07-15 11:49] kuzmic [Publikationen (Publications)] |
staff:kuzmic [2022-07-20 13:26] kuzmic [Forschungsinteressen (Research interests)] |
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| * Internet der Dinge (IoT) - Kommunikation zwischen autonomen Fahrzeugen | * Internet der Dinge (IoT) - Kommunikation zwischen autonomen Fahrzeugen | ||
| * Autonomes Fahren (AD) - Rettungsgassenbildung, Bilderkennung, Bildverarbeitung, Simulationen mit Unity 3D | * Autonomes Fahren (AD) - Rettungsgassenbildung, Bilderkennung, Bildverarbeitung, Simulationen mit Unity 3D | ||
| - | * Künstliche Intelligenz (AI), Computer Vision (CV) - Spurerkennung, Objekterkennung | + | * Computer Vision (CV) - Spurerkennung, Objekterkennung, Distanzmessungen in 2D-Bildern |
| * Software Entwicklung für Hardware mit limitierten Ressourcen für Low-Power-IoT-Geräte | * Software Entwicklung für Hardware mit limitierten Ressourcen für Low-Power-IoT-Geräte | ||
| ===== Publikationen (Publications) ===== | ===== Publikationen (Publications) ===== | ||
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| * [[https://www.scitepress.org/PublicationsDetail.aspx?ID=xRnA03OR24I=&t=1 | IoT based Driver Information System for Monitoring the Load Securing (2019)]] | * [[https://www.scitepress.org/PublicationsDetail.aspx?ID=xRnA03OR24I=&t=1 | IoT based Driver Information System for Monitoring the Load Securing (2019)]] | ||
| * [[https://www.scitepress.org/PublicationsDetail.aspx?ID=tjki925/KVE=&t=1 | Unity 3D Simulator of Autonomous Motorway Traffic Applied to Emergency Corridor Building (2020)]] | * [[https://www.scitepress.org/PublicationsDetail.aspx?ID=tjki925/KVE=&t=1 | Unity 3D Simulator of Autonomous Motorway Traffic Applied to Emergency Corridor Building (2020)]] | ||
| * [[https://www.scitepress.org/PublicationsDetail.aspx?ID=BKnBZfyhNP4=&t=1 | Comparison between Filtered Canny Edge Detector and Convolutional Neural Network for Real Time Lane Detection in a Unity 3D Simulator (2021)]] | * [[https://www.scitepress.org/PublicationsDetail.aspx?ID=BKnBZfyhNP4=&t=1 | Comparison between Filtered Canny Edge Detector and Convolutional Neural Network for Real Time Lane Detection in a Unity 3D Simulator (2021)]] | ||
| + | * [[https://link.springer.com/chapter/10.1007/978-3-030-72914-1_21 | A Fusion of Deep and Shallow Learning to Predict Genres Based on Instrument and Timbre Features (2021)]] | ||
| + | * [[https://www.scitepress.org/PublicationsDetail.aspx?ID=0uxF06kH1Tk=&t=1 | Object Detection with TensorFlow on Hardware with Limited Resources for Low-power IoT Devices (2021)]] | ||
| + | * [[https://www.scitepress.org/PublicationsDetail.aspx?ID=NSZXOf8qvd4=&t=1 | Real-Time Object Detection with Intel NCS2 on Hardware with Limited Resources for Low-power IoT Devices (2022)]] | ||
| + | * [[https://www.scitepress.org/PublicationsDetail.aspx?ID=NxXqeuSliVE=&t=1 | Real-time Distance Measurement in a 2D Image on Hardware with Limited Resources for Low-power IoT Devices (Radar Control System)]] | ||
| [[https://www.researchgate.net/profile/Jurij-Kuzmic | Publikationen auf ResearchGate]] | [[https://www.researchgate.net/profile/Jurij-Kuzmic | Publikationen auf ResearchGate]] | ||
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| * Datenstrukturen, Algorithmen und Programmierung 1 (DAP 1) | * Datenstrukturen, Algorithmen und Programmierung 1 (DAP 1) | ||
| - | * **Wintersemester 2021/22 (Online)** | + | * **Wintersemester 2021/22** |
| + | * Einführung in die Programmierung (EidP) | ||
| + | |||
| + | * **Sommersemester 2022** | ||
| + | * Datenstrukturen, Algorithmen und Programmierung 1 (DAP 1) | ||
| + | |||
| + | * **Wintersemester 2022/23** | ||
| * Einführung in die Programmierung (EidP) | * Einführung in die Programmierung (EidP) | ||
| Line 65: | Line 77: | ||
| * Unterdrückung von Hintergrundgeräuschen in Sprachsignalen mit künstlichen neuronalen Netzen am Beispiel von Tastaturgeräuschen | * Unterdrückung von Hintergrundgeräuschen in Sprachsignalen mit künstlichen neuronalen Netzen am Beispiel von Tastaturgeräuschen | ||
| * Systematische Reward-Studie beim Reinforcement Learning eines Agenten in einer Avoid & Collect Umwelt. | * Systematische Reward-Studie beim Reinforcement Learning eines Agenten in einer Avoid & Collect Umwelt. | ||
| + | * Auswirkung verschiedener Reward-Werte auf das Agentenverhalten in einer Avoid & Collect Umwelt. | ||