Title :
Vision-based motion sensing for underwater navigation and mosaicing of ocean floor images
Author :
Xu, Xun ; Negahdaripour, Shahriar
Author_Institution :
Dept. of Electr. & Comput. Eng., Miami Univ., Coral Gables, FL, USA
Abstract :
The authors propose a direct solution for real-time estimation of the 3D motion of a submersible vehicle from the video images of the seafloor, acquired by an on-board camera, in order to perform the following tasks: Maintaining a prescribed trajectory, or determining position relative to a reference point, during short-range navigation along the seafloor. Constructing a mosaic image of the bottom scene within the scanned area by registering consecutive frames. The authors present experimental results with images recorded in a water tank to evaluate performance based on accuracy in the estimation of 3D motion and the registration of consecutive frames in the mosaic image
Keywords :
computer vision; computerised navigation; geophysical signal processing; image registration; image sequences; motion estimation; navigation; oceanographic techniques; robot vision; seafloor phenomena; sediments; computer vision; consecutive frames; image mosaic; image mosaicing; image processing; image registration; image sequence; marine sediment; mosaic image; motion sensing; ocean; seafloor geology; seafloor optical imaging; short-range navigation; submersible vehicle; three dimensional motion; trajectory maintenance; underwater navigation; underwater vehicle; video image; Cameras; Computer vision; Image motion analysis; Layout; Motion estimation; Navigation; Oceans; Optical computing; Optical sensors; Underwater vehicles;
Conference_Titel :
OCEANS '97. MTS/IEEE Conference Proceedings
Conference_Location :
Halifax, NS
Print_ISBN :
0-7803-4108-2
DOI :
10.1109/OCEANS.1997.624204