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Titel:

Bicyclist Maneuver Type Prediction using Bidirectional Long Short-Term Memory Neural Networks

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Poster
Autor(en):
Georgios Grigoropoulos; Patrick Malcolm; Andreas Keler; Heather Kaths; Fritz Busch; Klaus Bogenberger
Abstract:
In the present research, a bicycle simulator is used to study the behavior of bicyclists and to collect data that can be used for developing a Bidirectional Long Short-Term Network (B-LSTM) model that predicts a bicyclist’s intended maneuver type class (left turn, right turn, straight) at an intersection approach. First the bicyclists’ dynamic behavior and the explicit and implicit communication behavior is recorded. Features describing the bicyclists’ behavior are extracted and associated with...     »
Kongress- / Buchtitel:
TRB 100th Annual Meeting
Jahr:
2021
 BibTeX