Vita
Tanittha Sutjaritvorakul ist derzeit Doktorandin im Fachbereich Informatik an der Technischen Universität Kaiserslautern.
Sie erhielt ihren M. Sc. in Embedded Systems an der gleichen Universität im Jahr 2016.
Ihre Forschungsinteressen umfassen Computer Vision und insbesondere deren Anwendung in großen Baumaschinen.
Derzeit beschäftigt sie sich damit, die Sicherheit auf Baustellen durch visuelle Erkennung und Verfolgung von Arbeitern mithilfe eines mobilen Krans zu verbessern.
Veröffentlichungen
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- Adaptive Zoom Control Approach of Load-View Crane Camera for Worker Detection.
Proceedings of the 38th International Symposium on Automation and Robotics in Construction (ISARC), S. 553 - 560. (2021) - Simulated Environment for Developing Crane Safety Assistance Technology.
Commercial Vehicle Technology 2020/2021, S. 459 - 470. (2021) - Data-Driven Worker Detection from Load-View Crane Camera.
Proceedings of the 37th International Symposium on Automation and Robotics in Construction (ISARC), S. 864 - 871. (2020) - Simulated Environment for Developing Crane Safety Assistance Technology.
Commercial Vehicle Technology 2020. Proceedings of the 6th Commercial Vehicle Technology Symposium – CVT 2020, (2020) - Simulation Platform for Crane Visibility Safety Assistance.
Advances in Service and Industrial Robotics, Vol. 84, (2020) - Dataset Generation Using A Simulated World.
Advances in Service and Industrial Robotics Proceedings of the 28th International Conference on Robotics in Alpe-Adria-Danube Region (RAAD 2019), S. 505 - 513. (2019) - Crane safety system with monocular and controlled zoom cameras.
Proceedings of the 35th ISARC, Berlin, Germany, S. 873 - 879. (2018) - Proceedings DGR Days 2017.
(2017)
http://dgr2017.informatik.uni-bremen.de/wp-content/uploads/2017/11/Proceedings-DGR-Days-2017.pdf - Compact Data Association in Multiple Object Tracking. Pedestrian Tracking on Mobile Vehicle as Case Study.
9th IFAC Symposium on Intelligent Autonomous Vehicles, (2016)