DocumentCode :
3526653
Title :
A hybrid control approach to the Next-Best-View problem using stereo vision
Author :
Freundlich, Charles ; Mordohai, Philippos ; Zavlanos, Michael M.
Author_Institution :
Dept. of Mech. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA
fYear :
2013
fDate :
6-10 May 2013
Firstpage :
4493
Lastpage :
4498
Abstract :
In this paper, we consider the problem of precisely localizing a group of stationary targets using a single stereo camera mounted on a mobile robot. In particular, assuming that at least one pair of stereo images of the targets is available, we seek to determine where to move the stereo camera so that the localization uncertainty of the targets is minimized. We call this problem the Next-Best-View problem. The advantage of using a stereo camera is that, using triangulation, the two simultaneous images can yield range and bearing measurements of the targets, as well as their uncertainty. We use a Kalman filter to fuse location and uncertainty estimates as more measurements are acquired. Our solution to the Next-Best-View problem is to iteratively minimize the fused uncertainty of the targets´ locations subject to field-of-view constraints. We capture these objectives by appropriate artificial potentials on the camera´s relative frame and the global frame, respectively. In particular, with every new observation, the mobile stereo camera computes the new next best view on the relative frame and subsequently realizes this view in the global frame via gradient descent on the space of robot positions and orientations, until a new observation is made. Integration of next best view with motion planning results in a hybrid system, which we illustrate in computer simulations.
Keywords :
Kalman filters; distance measurement; gradient methods; mobile robots; path planning; robot vision; stereo image processing; Kalman filter; artificial potentials; bearing measurement; camera global frame; camera relative frame; computer simulations; field-of-view constraints; gradient descent; hybrid control approach; localization uncertainty; mobile robot; mobile stereo camera; motion planning; next-best-view problem; range measurement; stationary target localization; stereo vision; triangulation; Approximation methods; Cameras; Covariance matrices; Measurement uncertainty; Robot vision systems; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2013 IEEE International Conference on
Conference_Location :
Karlsruhe
ISSN :
1050-4729
Print_ISBN :
978-1-4673-5641-1
Type :
conf
DOI :
10.1109/ICRA.2013.6631215
Filename :
6631215
Link To Document :
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