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Titel:

A Prediction-based Reactive Driving Strategy for Highly Automated Driving Function on Freeways

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Bahram, Mohammad; Wolf, Anton; Aeberhard, Michael; Wollherr, Dirk
Seitenangaben Beitrag:
400-406
Abstract:
Highly automated driving on freeways requires a complex artificial intelligence that makes optimal decisions based on the current measurements and information. The architecture of the decision-making process, hereinafter referred to as driving strategy, should allow diversity in decision-making for various traffic situations and modular expandability of the overall intelligence. Besides a reactive response to changes in the dynamic environment, a deliberative component should also be considered...     »
Dewey-Dezimalklassifikation:
620 Ingenieurwissenschaften
Kongress- / Buchtitel:
Intelligent Vehicles Symposium Proceedings
Datum der Konferenz:
June 8-11, 2014
Jahr:
2014
Sprache:
en
WWW:
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6856503
Semester:
SS 14
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