A collection of carefully selected research papers from our team.
These papers represent our commitment to research. We believe that with published research, we can contribute globally to a better understanding of AUV, thus promoting greater technological developments in the future.
Team Papers
Design and Implementation of Zeabus AUV for Robosub 2016
Kasetsart University has participated in Robosub since 2014. In 2016, our team has been formed by students from Kasetsart University and Chulalongkorn University to encourage collaboration between two universities. A new AUV called Zeabus has been designed in a single hull to reduce problems found in the previous years. More functions and features have been added to our software to perform more tasks, while the weight has been reduced by using lighter materials. Devices, computers, and main circuits have been installed in a single hull. Thrusters have been replaced and driver circuits have been improved in order to solve problems found in previous competitions. Zeabus AUV is operated on ROS (Robot Operating System).
Design and Implementation of Zeabus AUV for Robosub 2017
Kasetsart University has participated in Robosub since 2014. In 2017, our AUV called Zeabus has been redesigned in a single hull with a truss structure and acrylic covers to reduce weight. More advanced equipment such as imaging sonar and new cameras are added. More features of software parts are also improved such as auto exposure and new object detection algorithms in order to perform tasks more efficiently. Devices, computers, and main circuits have been installed in a single hull. Circuit boards are redesigned to reduce the size and weight. Thrusters have been replaced by Seabotix BTD 150, and driver circuits have been redesigned to support our new thrusters. Zeabus AUV is still operated on ROS (Robot Operating System) like in the previous version.
Individual Papers
An Elevation Mapping Algorithm Based on a Markov Random Field Model for Underwater Exploration
Authors: N. Prasatthong; T. Kasetkasem; Y. Tipsuwan; et al.
This paper is presented at the 2019 16th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
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A pinger localization algorithm using sparse representation for autonomous underwater vehicles
Authors: T. Kasetkasem; D. Worasawate; Y. Tipsuwan; et al.
This paper is presented at the 2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
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A Pipeline Extraction Algorithm for Forward-Looking Sonar Images Using the Self-Organizing Map
Authors: Siwakorn Tulsook; Teerasit Kasetkasem; Yodyium Tipsuwan; et al.
This paper is presented at the 2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
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A Real-Time Pipeline Tracking Using a Forward-Looking Sonar
Authors: Yodyium Tipsuwan; Teerasit Kasetkasem; Phakhachon Hoonsuwan; et al.
This paper is presented at the 2019 International Petroleum Technology Conference.
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Design and implementation of an AUV for petroleum pipeline inspection
Authors: Yodyium Tipsuwan; Phakhachon Hoonsuwan
This paper is presented at the 2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE).
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Development of ZEABUS 2018 AUV
Authors: Vasutotn Siriyakorn; Akrapong Patchararungruang; Peerayot Sanposh; et al.
This paper is presented at the 2019 First International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP.
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Pipeline Direction Extraction Algorithm Using Level Set Method
Authors: A. Leangaramkul; T. Kasetkasem; Y. Tipsuwan; et al.
This paper is presented at the 2019 16th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
For further details, please click here.
Underwater Computer Vision of the ZEABUS AUV
Authors: Supakit Kriangkhajorn; Akrapong Patchararungruang; Somchai Numprasertchai
This paper is presented at the 2019 First International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP).
For further details, please click here.