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OverviewThe 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. Full Product DetailsAuthor: Michael HuelsenPublisher: Springer Fachmedien Wiesbaden Imprint: Springer Vieweg Edition: 2014 ed. Dimensions: Width: 14.80cm , Height: 1.10cm , Length: 21.00cm Weight: 2.604kg ISBN: 9783658057497ISBN 10: 3658057491 Pages: 176 Publication Date: 07 May 2014 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction.- 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.ReviewsAuthor InformationMichael Huelsen completed his doctoral thesis in a co-operation 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. Tab Content 6Author Website:Countries AvailableAll regions |