Traffic Situation Description and Situation Feature Relevance
Buch, Englisch, 176 Seiten, Paperback, Format (B × H): 148 mm x 210 mm, Gewicht: 2604 g
ISBN: 978-3-658-05749-7
Verlag: Springer
Zielgruppe
- 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
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
- Technische Wissenschaften Verkehrstechnik | Transportgewerbe Fahrzeugtechnik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau Mechatronik, Mikrosysteme (MEMS), Nanosysteme
Weitere Infos & Material
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.