Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.495813
Title: Multisensor data fusion for simultaneous people tracking and recognition with a service robot
Author: Bellotto, Nicola
Awarding Body: University of Essex
Current Institution: University of Essex
Date of Award: 2009
Availability of Full Text:
Access through EThOS:
Abstract:
Modern service robots are designed to operate in private and public areas characterized by the presence of people. In order to move safely in the environment and provide useroriented services, these robots need to estimate the position and the identity of humans. Such a task, however, is made particularly difficult by the uncertainty of robot's observations and by the dynamic nature of human environments. The methods and the algorithms implemented have been extensively tested with mobile robots in dynamic human envhonments, evaluating the performance of the people tracking and recognition in many challenging situations. The solutions adopted include a number of contributions in the challenging areas of human-centred robotics and multisensor perception.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.495813  DOI: Not available
Share: