Paper Info
Title
Multispectral Data Acquisition in the Assessment of Driver's Fatigue.
Abstract
Many factors contribute for the occurrence of the road accidents. The most important are the behaviour of drivers and the level of their fatigue. Appropriate recognition of driver's fatigue is now becoming an important research issue, the results of which are beginning to be implemented in automotive driver assistant systems. In the article the authors present the characteristics of selected multispectral data (visual image, depth map, thermal image) used for automatic assessment of driver fatigue and the station for their acquisition. For the study a simulator station has been proposed and developed. It reflects the driver's cabin (based on physical measurements of a wide range of vehicles), is equipped with the appropriate video sensors (including depth and thermal recorders) and monitors showing real driving situations. The acquired data streams can be used for research on the development of non-invasive methods for assessing the degree of driver fatigue.
Year
DOI
Venue
2017
10.1007/978-3-319-66251-0_26
Communications in Computer and Information Science
Keywords
Field
DocType
Driver fatigue,Multispectral data acquisition
Computer vision,Data stream mining,Video sensors,Computer science,Real-time computing,Artificial intelligence,Depth map,Multispectral data,Automotive industry
Conference
Volume
ISSN
Citations 
715
1865-0929
0
PageRank 
References 
Authors
0.34
8
3
Name
Order
Citations
PageRank
Krzysztof Malecki1339.39
Adam Nowosielski24710.56
Pawel Forczmanski33414.21