Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/14509
Title: Feature based navigation and localization of Autonomous Underwater Vehicles (AUVs)
Authors: Balasuriya, Arjuna Prabhath
Wijesoma, Wijerupage Sardha
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
Issue Date: 2005
Abstract: Under this project research and development work is carried out to introduce on-board intelligence for Autonomous Underwater Vehicles (AUVs). Techniques and algorithms are proposed for underwater localization and map-building using sonar and optical imaging. Underwater positioning is one of the biggest challenges faced by AUV community due to the unavailability of a global positioning system (GPS). The complex nature in the highly hostile underwater environment makes most of the commercially available sensor data corrupt with noise. In this project, new technologies are proposed to fuse different sensor modalities to obtain a reliable update of the state of the vehicle as well as its operating environment. Initially, a test-bed AUV platform is designed and built at NTU, called the ‘NTU_UAV’ to test the performance of the new research ideas in the hostile under sea environment. The in-house built NTU_UAV has a re-configurable structure enabling researchers to change the software/hardware architecture on-site for different applications. Tetherless NTU_UAV has successfully demonstrated its autonomous maneuvers in applications such as sea-bed following. Under this project, sonar/optics based AUV navigation algorithms are developed and their performances are tested in real-world conditions.
URI: http://hdl.handle.net/10356/14509
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Research Reports (Staff & Graduate Students)

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