Vita
Tanittha Sutjaritvorakul is currently a Ph.D. candidate in the department of Computer Science at Technische Universität Kaiserslautern.
She received her M. Sc. in Embedded Systems at the same university in 2016.
Her research interests include computer vision specifically applied in large construction machines.
She is currently focused on the vision-based safety of the construction site via worker detection and tracking from a mobile crane.
Publications
- 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)