Knowledge-Based Driver Assistance Systems Traffic Situation Description and Situation Feature Relevance /

• Main Author: Huelsen, Michael (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2014.
• Subjects: Engineering.; Data structures (Computer science).; Applied mathematics.; Engineering mathematics.; Control engineering.; Robotics.; Mechatronics.; Appl.Mathematics/Computational Methods of Engineering.; Data Structures, Cryptology and Information Theory.; Control, Robotics, Mechatronics.

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 situ...

Table of Contents:

• 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.