College - Author 1

College of Engineering

Department - Author 1

Computer Science Department

College - Author 2

College of Engineering

Department - Author 2

Computer Science Department

College - Author 3

College of Engineering

Department - Author 3

Computer Science Department

College - Author 4

College of Engineering

Department - Author 4

Computer Science Department

Advisor

Dr. Franz Kurfess; Dr. Lynne Slivovsky; Dr. Sumona Mukhopadhyay

Funding Source

Gary Bloom

Acknowledgements

Chris Young, Robert Koester

Date

10-2023

Abstract/Summary

Building on the work done initially as a SURP 2021 project and continued through 2021-23, the focus for this summer project will be on the use of computer technology for locating a missing person. Over the last year, we developed the digital equivalents of about 30 paper-based S&R forms and the infrastructure to collect the respective information. In their current use, these paper forms are filled out by search teams, collected in a command post, and reviewed by search coordinators. This process is time-consuming, prone to errors and loss of information, and relies heavily on the experience, skills, and mental acuity of the search coordinators. At the core of this process is the Lost Person Questionnaire, a lengthy and complex form that collects relevant information about the subject of the S&R mission. For this SURP effort, we will explore the use of Artificial Intelligence and Machine Learning to combine information about the ongoing search effort, past missions with similar profiles, and general knowledge such as terrain and travel routes to identify areas of high priority for the search.

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URL: https://digitalcommons.calpoly.edu/ceng_surp/26

 

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