Traffic Situation Description and Situation Feature Relevance
Buch, Englisch, 176 Seiten, Format (B × H): 148 mm x 210 mm, Gewicht: 2604 g
ISBN: 978-3-658-05749-7
Verlag: Springer
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.
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 Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
- Technische Wissenschaften Verkehrstechnik | Transportgewerbe Fahrzeugtechnik
- 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.
