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.
October 1, 2023.
Included in
URL: https://digitalcommons.calpoly.edu/ceng_surp/26