Advances in High Resolution Imaging from Underwater Vehicles

Large area mapping at high resolution underwater continues to be constrained by the mismatch between available navigation as compared to sensor accuracy. In this paper we present advances that exploit consistency and redundancy within local sensor measurements to build high resolution optical and acoustic maps that are a consistent representation of the environment. We present our work in the context of real world data acquired using Autonomous Underwater Vehicles (AUVs) and Remotely Operated Vehicles (ROVs) working in diverse applications including shallow water coral reef surveys with the Seabed AUV, a forensic survey of the RMS Titanic in the North Atlantic at a depth of 4100 meters using the Hercules ROV and a survey of the TAG hydrothermal vent area in the mid-Atlantic at a depth of 2600m using the Jason II ROV. Specifically we focus on the related problems of Structure from Motion and Visually Based Navigation from underwater optical imagery assuming pose instrumented calibrated...

• Type: Conference
• Year: 2005
• Where: ISRR
• Authors: Hanumant Singh, Christopher N. Roman, Oscar Pizarro, Ryan Eustice
• Keywords: Autonomous Underwater Vehicles, ISRR 2005, Large Area Mapping, Multi-beam Bathymetric Mapping, Robotics