Simultaneous object class and pose estimation for mobile robotic applications with minimalistic recognition
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|
|Source:||Proceedings of IEEE International Conference on Robotics and Automation (ICRA 2010)|
|01_Aydemir_Simultaneous_object_class_and_2010.pdf||766.25 kB||Adobe PDF||Request a copy|
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