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Title: An active touch approach to object detection in urban search and rescue
Author: Pele Odiase, Oziegbe-orhuwa
ISNI:       0000 0001 3482 3900
Awarding Body: The University of Manchester
Current Institution: University of Manchester
Date of Award: 2008
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One of the fundamental challenges in robotics is object detection in unstructured environments which includes urban search and rescue (USAR). In these environments, objects' properties are not known a priori, vision is partially or totally impaired and sensing is susceptible to errors. Furthermore, the noncontact sensors such as sonar sensors, video cameras and infrared sensors used for object detection have limitations that make them inadequate for successful completion of object detection tasks in USAR. As a solution, the active touch approach for object detection is proposed.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available