Knowledge-Based Driver Assistance Systems (Record no. 51790)

000 -LEADER
fixed length control field 03596nam a22005175i 4500
001 - CONTROL NUMBER
control field 978-3-658-05750-3
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200420220219.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140423s2014 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783658057503
-- 978-3-658-05750-3
082 04 - CLASSIFICATION NUMBER
Call Number 519
100 1# - AUTHOR NAME
Author Huelsen, Michael.
245 10 - TITLE STATEMENT
Title Knowledge-Based Driver Assistance Systems
Sub Title Traffic Situation Description and Situation Feature Relevance /
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVII, 176 p. 55 illus., 30 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- The Research Domain of this Thesis and its State of the Art -- Theoretical Foundations Relevant to this Thesis -- Situation Feature Relevance on Measurement Data -- Knowledge-Based Traffic Situation Description -- Relevance by Mutual Information on Ontology Features -- Conclusion.
520 ## - SUMMARY, ETC.
Summary, etc The comprehension of a traffic situation plays a major role in driving a vehicle. Interpretable information forms a basis for future projection, decision making and action performing, such as navigating, maneuvering and driving control. Michael Huelsen provides an ontology-based generic traffic situation description capable of supplying various advanced driver assistance systems with relevant information about the current traffic situation of a vehicle and its environment. These systems are enabled to perform reasonable actions and approach visionary goals such as injury and accident free driving, substantial assistance in arbitrary situations up to even autonomous driving.  Content Situation Feature Relevance on Vehicle Measurement Data Relevance of Historical Measurement Values Knowledge-Based Traffic Situation Description and Simulation Relevance by Mutual Information on Ontology Features Target Groups Researchers, lecturers and students in the fields of automotive engineering, mechatronics, computer science and artificial intelligence Engineers and developers in the automotive industry, specifically areas of driver assistance systems, vehicle control and mechatronics The Author Michael Huelsen completed his doctoral thesis in a cooperation between the Karlsruhe Institute of Technology (KIT) and the Robert Bosch GmbH. After working in automotive development he is now working in a leading position in purchasing and value engineering at a renowned company manufacturing electrical traction systems.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-658-05750-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Wiesbaden :
-- Springer Fachmedien Wiesbaden :
-- Imprint: Springer Vieweg,
-- 2014.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data structures (Computer science).
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Applied mathematics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering mathematics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Robotics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mechatronics.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Appl.Mathematics/Computational Methods of Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Structures, Cryptology and Information Theory.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control, Robotics, Mechatronics.
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-- ZDB-2-ENG

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