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Driver behavior analysis using multiple sensor data fusion and pattern recognition
, P.R. Gowda, D. Nanda
Published in SPB Pharma Society
2016
Volume: 9
   
Issue: 4
Pages: 3341 - 3345
Abstract
Driver behavior analysis deals with modeling the behavior of a vehicle driver through his operation of driving controls such as shifting gears, steering wheel movement, acceleration and braking patterns. To analyze the behavior, multiple sensor data fusion techniques have been used which provides a platform to fuse the data available from the various sensors and also provide "new data" containing more information and reliable. We have captured the data associated with the aforementioned parameters and attempt to gather the various characterizations or behavioral patterns of the driver.
About the journal
JournalJournal of Chemical and Pharmaceutical Sciences
PublisherSPB Pharma Society
ISSN09742115