Title :
Online navigation summaries
Author :
Girdhar, Yogesh ; Dudek, Gregory
Author_Institution :
Center for Intell. Machines, McGill Univ., Montreal, QC, Canada
Abstract :
Our objective is to find a small set of images that summarize a robot´s visual experience along a path. We present a novel on-line algorithm for this task. This algorithm is based on a new extension to the classical Secretaries Problem. We also present an extension to the idea of Bayesian Surprise, which we then use to measure the fitness of an image as a summary image.
Keywords :
mobile robots; robot vision; video signal processing; Bayesian surprise; classical secretaries problem; image fitness measurement; online navigation summaries; robot visual experience; summary image; Bayesian methods; Image sensors; Intelligent robots; Machine intelligence; Mobile robots; Navigation; Robot sensing systems; Robotics and automation; Sensor phenomena and characterization; USA Councils;
Conference_Titel :
Robotics and Automation (ICRA), 2010 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4244-5038-1
Electronic_ISBN :
1050-4729
DOI :
10.1109/ROBOT.2010.5509464
