Title

Anomaly Detection in Vehicle Operation Using Machine Intelligence

Date

5-26-2016 8:30 AM

End Time

26-5-2016 10:30 AM

Location

WUC Pacific Room

Department

Computer Science

Session Chair

Scot Morse

Session Chair

Mitch Fry

Session Title

Computer Science, Information Systems and M.S. in Management and Information Systems Student Projects

Faculty Sponsor(s)

John Marsaglia

Presentation Type

Poster session

Abstract

Everyone has seen how Hollywood portrays computers thinking for themselves but digressing from science fiction machine learning is on the horizon and can be used to save human life. In this paper the use of machine learning for anomaly detection in vehicles will be explored. Computers learning to adapt to changing patters is not stuff of fantasy but used today in several different areas. This paper will propose bringing it into our daily lives to help us make travel a safer prospect. With the ability to inform a driver of a detected impairment they are able to make an informed decision to hopefully stop driving before they injure themselves or other travelers. With travel being one of the leading causes in death worldwide it is time to consider a technology outside of our usual tool set to reduce this danger.

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May 26th, 8:30 AM May 26th, 10:30 AM

Anomaly Detection in Vehicle Operation Using Machine Intelligence

WUC Pacific Room

Everyone has seen how Hollywood portrays computers thinking for themselves but digressing from science fiction machine learning is on the horizon and can be used to save human life. In this paper the use of machine learning for anomaly detection in vehicles will be explored. Computers learning to adapt to changing patters is not stuff of fantasy but used today in several different areas. This paper will propose bringing it into our daily lives to help us make travel a safer prospect. With the ability to inform a driver of a detected impairment they are able to make an informed decision to hopefully stop driving before they injure themselves or other travelers. With travel being one of the leading causes in death worldwide it is time to consider a technology outside of our usual tool set to reduce this danger.