Simultaneous object class and pose estimation for mobile robotic applications with minimalistic recognition
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Aydemir, Alper; Bishop, Adrian; Jensfelt, Patric
Description
In this paper we address the problem of simultaneous object class and pose estimation using nothing more than object class label measurements from a generic object classifier. We detail a method for designing a likelihood function over the robot configuration space. This function provides a likelihood measure of an object being of a certain class given that the robot (from some position) sees and recognizes an object as being of some (possibly different) class. Using this likelihood function in...[Show more]
Collections | ANU Research Publications |
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Date published: | 2010 |
Type: | Conference paper |
URI: | http://hdl.handle.net/1885/83971 |
Source: | Proceedings of IEEE International Conference on Robotics and Automation (ICRA 2010) |
DOI: | 10.1109/ROBOT.2010.5509304 |
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01_Aydemir_Simultaneous_object_class_and_2010.pdf | 766.25 kB | Adobe PDF | Request a copy |
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