Evaluation of three vision based object perception methods for a mobile robot

This paper addresses visual object perception applied to mobile robotics. Being able to perceive household objects in unstructured environments is a key capability in order to make robots suitable to perform complex tasks in home environments. However, finding a solution for this task is daunting: it requires the ability to handle the variability in image formation in a moving camera with tight time constraints. The paper brings to attention some of the issues with applying three state of the art object recognition and detection methods in a mobile robotics scenario, and proposes methods to deal with windowing/segmentation. Thus, this work aims at evaluating the state-of-the-art in object perception in an attempt to develop a lightweight solution for mobile robotics use/research in typical indoor settings. © Springer Science+Business Media B.V. 2012.This work was supported by the following grants: JAE Doc of the CSIC, FEDER European Social funds, AGAUR grant 2009-SGR-1434, the Government of Spain under research programme Consolider Ingenio 2 010: MIPRCV (CSD2007-00018) and MICINN project TIN2011-25606 (SiMeVé), Rio Tinto Centre for Mine Automation, and the ARC Centre of Excellence programme, funded by the Australian Research Council and the New South Wales State Government.Peer Reviewe

The next generation supersonic transport engine - critical issues

Paper for Royal Aeronautical Society symposium Aerodynamics Design for Supersonic Flight, 19 Apr 1988Available from British Library Document Supply Centre- DSC:8019.3153(RRR-PNR--90576) / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo