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Simultaneous object class and pose estimation for mobile robotic applications with minimalistic recognition

Aydemir, Alper; Bishop, Adrian; Jensfelt, Patric


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]

CollectionsANU Research Publications
Date published: 2010
Type: Conference paper
Source: Proceedings of IEEE International Conference on Robotics and Automation (ICRA 2010)
DOI: 10.1109/ROBOT.2010.5509304


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