Acoustic Spherical Array Prototype Omni-directional Imaging System

M. Bhushan, L. G. Hassebrook, H. Hejase, K. Donohue, J. Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

There are many hazardous environments such as accidents involving fires and chemical, nuclear, or biological contamination which present a need for a robot to travel through them. If these environments are clouded with smoke or fire, then conventional infra-red or visual devices are limited in regards to autonomous navigation. Furthermore, these devices do not directly convey 3-D information about the environment being scanned. To overcome this problem, we present a novel acoustical array imaging system. In the system, acoustical transducers are mounted uniformly on a sphere. By controlling the phase delays of the transducer units, the device can image objects in all directions with no moving parts. The Acoustic Spherical Array Prototype (ASAP) is thus an omni-directional imaging system. To achieve the highest efficiency, its design is an integration of technology, geometric symmetry, and signal processing techniques.

Original languageEnglish
Title of host publicationIROS 1992 - Proceedings of the 1992 IEEE/RSJ International Conference on Intelligent Robots and Systems
Subtitle of host publicationSensor-Based Robotics and Opportunties for its Industrial Applications
Pages845-850
Number of pages6
ISBN (Electronic)0780307372
DOIs
StatePublished - 1992
Event1992 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 1992 - Raleigh, United States
Duration: Jul 7 1992Jul 10 1992

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
Volume2
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

Conference1992 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 1992
Country/TerritoryUnited States
CityRaleigh
Period7/7/927/10/92

Bibliographical note

Publisher Copyright:
© 1992 IEEE.

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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