Langer, Ingmar ; Abendroth, Bettina ; Bruder, Ralph (2023)
Driver Condition Detection.
In: Handbook of Driver Assistance Systems, 2015
doi: 10.26083/tuprints-00024587
Buchkapitel, Zweitveröffentlichung, Postprint
Kurzbeschreibung (Abstract)
This following chapter deals with driver condition detection. After delineating the factors relevant to detecting a driver’s condition and discussing the reasons for addressing the subject in terms of accident risk and the corresponding potentials and challenges (Sect. 1), three potential uses of driver condition detection are examined: detection of inattentiveness (Sect. 2), detection of drowsiness (Sect. 3), and detection of medical emergencies (e.g., a heart attack; Sect. 4). The respective driver conditions are defined, relevant measuring variables and their corresponding measuring procedures present, and selected applications expanded upon. Section 5 addresses driver condition monitoring systems currently available on the market and names the measuring variables and procedures used by those systems, before giving a short overview of the problem of potential false alarms in Sect. 6.
| Typ des Eintrags: | Buchkapitel |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Langer, Ingmar ; Abendroth, Bettina ; Bruder, Ralph |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Driver Condition Detection |
| Sprache: | Englisch |
| Publikationsjahr: | 17 Oktober 2023 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | 2015 |
| Ort der Erstveröffentlichung: | Cham |
| Verlag: | Springer |
| Buchtitel: | Handbook of Driver Assistance Systems |
| Kollation: | 13 Seiten |
| DOI: | 10.26083/tuprints-00024587 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/24587 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichungsservice |
| Kurzbeschreibung (Abstract): | This following chapter deals with driver condition detection. After delineating the factors relevant to detecting a driver’s condition and discussing the reasons for addressing the subject in terms of accident risk and the corresponding potentials and challenges (Sect. 1), three potential uses of driver condition detection are examined: detection of inattentiveness (Sect. 2), detection of drowsiness (Sect. 3), and detection of medical emergencies (e.g., a heart attack; Sect. 4). The respective driver conditions are defined, relevant measuring variables and their corresponding measuring procedures present, and selected applications expanded upon. Section 5 addresses driver condition monitoring systems currently available on the market and names the measuring variables and procedures used by those systems, before giving a short overview of the problem of potential false alarms in Sect. 6. |
| Freie Schlagworte: | False Alarm, Secondary Task, Medical Emergency, Divided Attention, Driver Condition |
| Status: | Postprint |
| URN: | urn:nbn:de:tuda-tuprints-245875 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Arbeitswissenschaft (IAD) |
| Hinterlegungsdatum: | 17 Okt 2023 09:40 |
| Letzte Änderung: | 18 Okt 2023 08:20 |
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| Zugehörige Links: | |
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