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Titel:

Combining Stochastic and Scenario Model Predictive Control to Handle Target Vehicle Uncertainty in an Autonomous Driving Highway Scenario

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Brüdigam, Tim; Olbrich, Michael; Leibold, Marion; Wollherr, Dirk
Seitenangaben Beitrag:
1317-1324
Abstract:
Autonomous vehicles face the challenge of providing safe transportation while efficiently maneuvering in an uncertain environment. Considering surrounding vehicles, two types of uncertainties occur: multiple future maneuvers are possible, and within these maneuvers the vehicle can vary from the predicted ideal maneuver path. Focusing on only one of these uncertainties can either lead to neglecting potential risks or result in overly conservative motion planning. Here, we suggest a Stochastic Mod...     »
Kongress- / Buchtitel:
2018 21st International Conference on Intelligent Transportation Systems (ITSC)
Datum der Konferenz:
November 4-7, 2018
Jahr:
2018
Monat:
Nov
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1109/ITSC.2018.8569909
Semester:
WS 18-19
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