Jason Kadarusman

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TOUCH is a real-time computer vision system that has been developed in order to aid the operation of autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs). The algorithm is based on a modified 4-connectivity approach that scans the incoming frames for a target hue range and based upon the largest connected blobs of hue, tracks an(More)
Sensing systems for AUVs are deeply researched but post mission deployment recovery systems for these vehicles are equally important. This paper presents a low-cost recovery system designed to provide post mission recovery location discovery capabilities to AUVs. The recovery system discussed relies on inter-aural time differentiation of sonar pulses(More)
This paper presents, CoViS, a low-cost real-time amphibious optical computer vision system based on a modified 4-connectivity approach that scans acquired frames from a video stream for a target hue range and then applies a few advanced techniques of image processing to the video as well. The relatively fast and inexpensive system provides Cartesian(More)
Jal is the new Autonomous Underwater Vehicle (AUV) designed by the student team of IURS. Propelled by two lateral and vertical propulsion motors, Jal weighs only about 7 Kgs and measures close to 0.45m in length and 0.36m in width & height. Onboard pressure sensor, digital compass, pair of hydrophones, custom sonar electronics and two webcams for computer(More)
The US Navy’s Office of Naval research and the Association for Unmanned Vehicles Systems International organize an annual autonomous underwater vehicle competition where vehicles must attempt to perform simulated real-world tasks. This paper describes Jal, the new AUV designed by the student team of IURS for the purpose of competing in this competition.(More)
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