Ruth David

University of Duisburg-Essen | uni-due · Chair of Dynamics and Control

A major aspect in the development of advanced driving assistance systems (ADASs) is the research in developing human driving behavior prediction and recognition models. Recent contributions focus on developing these models for estimating different driving behaviors like lane or speed change. Thus, the models are incorporated into the ADAS to genera...

In recent years, the development of advanced driving assistance systems (ADAS) has grown significantly within the transportation industry to assist drivers for making safe maneuvers. A major component in developing these assistance systems are driving behavior prediction and recognition models. These models aim to infer driving behaviors based on d...

Developing driving behavior prediction and recognition models play a crucial role in Advanced Driving Assistance Systems (ADAS). Developing these models generally requires the use of Machine Learning approaches. Often, Machine Learning approaches are difficult to interpret. In this contribution, an Artificial Neural Network (ANN)-based state machin...

Research in understanding human behavior is a growing field within the development of Advanced Driving Assistance Systems (ADASs). In this contribution, a state machine approach is proposed to develop a driving behavior recognition model. The state machine approach is a behavior model based on the current state and a given set of inputs. Transition...