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  4. AUTOREC - AN AUTOMATED DATA LOGGING SYSTEM FOR STUDYING IN-CAR EXPERIENCE

AUTOREC - AN AUTOMATED DATA LOGGING SYSTEM FOR STUDYING IN-CAR EXPERIENCE

File(s)
Zhang_cornell_0058O_10817.pdf (29.16 MB)
Permanent Link(s)
https://doi.org/10.7298/4qrm-xv40
https://hdl.handle.net/1813/70216
Collections
Cornell Theses and Dissertations
Author
Wang, Yue
Zhang, Jingxuan
Abstract

We are looking forward to designing an in-car recording system with multiple data streams that can help researchers create a new driving experience for the future. With AutoRec, a recording system embedded in the car, we can record a variety of data ranging from the car’s geolocation to the physical behavior and biological data of the driver and the passenger. Through timestamp all these different streams of data, we get a comprehensive idea of all the events occurring in the vehicle. Using these various types of data, we find efficient ways to enhance peoples’ overall interaction with vehicle. And this system allows all possible extensions and applied for different scenarios, including real driving and autonomous driving experience in simulation room – all these applications will be detailed illustrated in results section. This is the final report for our Specialization Project, which is a two- semester project required for the Connective Media Master program.

Description
29 pages
Date Issued
2020-05
Committee Chair
Azenkot, Shiri
Committee Member
Estrin, Deborah
Degree Discipline
Information Science
Degree Name
M.S., Information Science
Degree Level
Master of Science
Type
dissertation or thesis
Link(s) to Catalog Record
https://catalog.library.cornell.edu/catalog/13254427

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