Driver Drowsiness Detection (Record no. 55543)
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000 -LEADER | |
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fixed length control field | 03290nam a22005415i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-319-11535-1 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200421111841.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 140927s2014 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783319115351 |
-- | 978-3-319-11535-1 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.6 |
100 1# - AUTHOR NAME | |
Author | Čolić, Aleksandar. |
245 10 - TITLE STATEMENT | |
Title | Driver Drowsiness Detection |
Sub Title | Systems and Solutions / |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | IX, 50 p. 16 illus., 15 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | SpringerBriefs in Computer Science, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Introduction -- Driver Drowsiness Detection and Measurement Methods -- Commercial Solutions -- Research Aspects -- Examples. |
520 ## - SUMMARY, ETC. | |
Summary, etc | This SpringerBrief presents the fundamentals of driver drowsiness detection systems, provides examples of existing products, and offers guides for practitioners interested in developing their own solutions to the problem. Driver drowsiness causes approximately 7% of all road accidents and up to 18% of fatal collisions. Proactive systems that are capable of preventing the loss of lives combine techniques, methods, and algorithms from many fields of engineering and computer science such as sensor design, image processing, computer vision, mobile application development, and machine learning which is covered in this brief. The major concepts addressed in this brief are: the need for such systems, the different methods by which drowsiness can be detected (and the associated terminology), existing commercial solutions, selected algorithms and research directions, and a collection of examples and case studies. These topics equip the reader to understand this critical field and its applications. Detection Systems and Solutions: Driver Drowsiness is an invaluable resource for researchers and professionals working in intelligent vehicle systems and technologies. Advanced-level students studying computer science and electrical engineering will also find the content helpful. |
700 1# - AUTHOR 2 | |
Author 2 | Marques, Oge. |
700 1# - AUTHOR 2 | |
Author 2 | Furht, Borko. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-319-11535-1 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2014. |
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-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
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347 ## - | |
-- | text file |
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-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer science. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Multimedia information systems. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer graphics. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Science. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Imaging, Vision, Pattern Recognition and Graphics. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Multimedia Information Systems. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial Intelligence (incl. Robotics). |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2191-5768 |
912 ## - | |
-- | ZDB-2-SCS |
No items available.