Integrated Multi-Sensor Package (IMSP) for unmanned vehicle operations

Eddie C. Crow, Karl Reichard, Chris Rogan, Jeff Callen, Elwood Seifert

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


This paper describes recent efforts to develop integrated multi-sensor payloads for small robotic platforms for improved operator situational awareness and ultimately for greater robot autonomy. The focus is on enhancements to perception through integration of electro-optic, acoustic, and other sensors for navigation and inspection. The goals are to provide easier control and operation of the robot through fusion of multiple sensor outputs, to improve interoperability of the sensor payload package across multiple platforms through the use of open standards and architectures, and to reduce integration costs by embedded sensor data processing and fusion within the sensor payload package. The solutions investigated in this project to be discussed include: improved capture, processing and display of sensor data from multiple, non-commensurate sensors; an extensible architecture to support plug and play of integrated sensor packages; built-in health, power and system status monitoring using embedded diagnostics/prognostics; sensor payload integration into standard product forms for optimized size, weight and power; and the use of the open Joint Architecture for Unmanned Systems (JAUS)/ Society of Automotive Engineers (SAE) AS-4 interoperability standard. This project is in its first of three years. This paper will discuss the applicability of each of the solutions in terms of its projected impact to reducing operational time for the robot and teleoperator.

Original languageEnglish (US)
Title of host publicationUnmanned/Unattended Sensors and Sensor Networks IV
StatePublished - Dec 1 2007
EventUnmanned/Unattended Sensors and Sensor Networks IV - Florence, Italy
Duration: Sep 18 2007Sep 20 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherUnmanned/Unattended Sensors and Sensor Networks IV

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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