Eggert, Julian ; Klingelschmitt, Stefan ; Damerow, Florian (2023)
The Foresighted Driver: Future ADAS Based on Generalized Predictive Risk Estimation.
3rd International Symposium on Future Active Safety Technology Toward Zero Traffic Accidents (FAST-zero'15). Gothenburg, Sweden (09.-11.09.2015)
doi: 10.26083/tuprints-00023280
Konferenzveröffentlichung, Zweitveröffentlichung, Verlagsversion
Kurzbeschreibung (Abstract)
Separably developed functionality as well as increasing situation complexity poses problems for building, testing, and validating future Advanced Driving Assistance Systems (ADAS). These will have to deal with situations in which several current ADAS domains interplay. We argue that a generalized estimation of the future ADAS functions’ benefit is required for efficient testing and evaluations, and propose a quantification based on an estimation of the predicted risk. The approach can be applied to several different types of risks and to such diverse scenarios as longitudinal driving, intersection crossing and lane changes with several traffic participants. Resulting trajectories exhibit a proactive, ”foresighted” driver behavior which smoothly avoids potential future risks.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Eggert, Julian ; Klingelschmitt, Stefan ; Damerow, Florian |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | The Foresighted Driver: Future ADAS Based on Generalized Predictive Risk Estimation |
| Sprache: | Englisch |
| Publikationsjahr: | 2023 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | 2015 |
| Buchtitel: | 3rd International Symposium on Future Active Safety Technology Toward Zero Traffic Accidents. FAST-zero'15. September 9 - 11, 2015 Gothenburg, Sweden. Proceedings |
| Veranstaltungstitel: | 3rd International Symposium on Future Active Safety Technology Toward Zero Traffic Accidents (FAST-zero'15) |
| Veranstaltungsort: | Gothenburg, Sweden |
| Veranstaltungsdatum: | 09.-11.09.2015 |
| DOI: | 10.26083/tuprints-00023280 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/23280 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichungsservice |
| Kurzbeschreibung (Abstract): | Separably developed functionality as well as increasing situation complexity poses problems for building, testing, and validating future Advanced Driving Assistance Systems (ADAS). These will have to deal with situations in which several current ADAS domains interplay. We argue that a generalized estimation of the future ADAS functions’ benefit is required for efficient testing and evaluations, and propose a quantification based on an estimation of the predicted risk. The approach can be applied to several different types of risks and to such diverse scenarios as longitudinal driving, intersection crossing and lane changes with several traffic participants. Resulting trajectories exhibit a proactive, ”foresighted” driver behavior which smoothly avoids potential future risks. |
| Freie Schlagworte: | Driver Behavior Modeling, Vehicle Dynamics Control and Autonomous Driving, Active Safety testing Methods and Tools |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-232800 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik > Regelungsmethoden und Intelligente Systeme |
| Hinterlegungsdatum: | 03 Mär 2023 09:58 |
| Letzte Änderung: | 07 Mär 2023 09:17 |
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