Knowledge-based driver assistance systems : traffic situation description and situation feature relevance /
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...
| Main Author: | |
|---|---|
| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Language Notes: | Abstract in English and German. |
| Published: |
Wiesbaden :
Springer Vieweg,
2014.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. |
|---|---|
| Item Description: | "Also PhD thesis Karlsruhe Institute of Technology (KIT), Germany, 2013." |
| Physical Description: | 1 online resource (xvii, 176 pages) : illustrations (some color) |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9783658057503 (electronic bk.) 3658057505 (electronic bk.) 3658057491 (print) 9783658057497 (print) |