Title :
Underwater geomagnetic navigation based on ICP algorithm
Author :
Lin, Yi ; Yan, Lei ; Tong, Qingxi
Author_Institution :
Inst. of RS & GIS Res., Peking Univ., Beijing
Abstract :
The trend of ocean exploitation puts forward higher requirements for automatic vehicles, while navigation module has been the development constraint for underwater robots. NATURE reported that some sea-turtles recur to geomagnetic "map" for navigation. Although the concrete mechanism has not been made clear yet, this still offers some cue to underwater navigation research. Now bionic researches reckon that matching is one very-possible positioning mode in this subject. Simultaneously remote sensing image processing techniques also supply some inspiration. Its traditional iterative closest point (ICP) algorithm for image registration can be transplanted for location determination. Combined with inertial navigation system (INS) which is as common navigation kernel, this paper emphasizes on how to modify and improve ICP algorithm according to underwater geomagnetic condition. Related aspects such as hunting window concluded from INS and closest points\´ quick-searching by stepwise extrapolation are also analyzed for the integrity of the proposed method above. The algorithm\´s applicability is concluded mathematically from the transformation relationship between INS\´s parameters and related real ones. Then simulation experiments for validation of the proposed algorithm\´s effectiveness, which is based on the real geomagnetic reference data, are carried out.
Keywords :
extrapolation; image registration; inertial navigation; iterative methods; mobile robots; path planning; remotely operated vehicles; robot vision; underwater vehicles; ICP algorithm; automatic vehicle; geomagnetic map; hunting window; image registration; inertial navigation system; iterative closest point algorithm; ocean exploitation; quick-searching; stepwise extrapolation; underwater geomagnetic navigation; underwater robot; Concrete; Geomagnetism; Iterative algorithms; Iterative closest point algorithm; Marine vehicles; Navigation; Oceans; Robot sensing systems; Robotics and automation; Underwater vehicles; ICP; INS; Navigation; geomagnetism; underwater;
Conference_Titel :
Robotics and Biomimetics, 2007. ROBIO 2007. IEEE International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-1761-2
Electronic_ISBN :
978-1-4244-1758-2
DOI :
10.1109/ROBIO.2007.4522496