To achieve a high acceptance by drivers Advanced Driver Assistance Systems (ADAS) have to consider the individual driver behavior. For example an ADAS should not intervene in a situation where drivers purposely cross road markings in harmless situations. To address this issue, a driver behavior characterization can be used to predict a driver's future trajectory based on his past behavior. In this paper, we present a method for driver behavior classification based on an inverse dynamic optimal approach and show how it can be applied to predict driver specific trajectories.
Driver characterization & driver specific trajectory planning: an inverse optimal control approach
2014-10-01
235231 byte
Conference paper
Electronic Resource
English
An intelligent driver model with trajectory planning
IEEE | 2012
|Trajectory planning for vehicle collision avoidance imitating driver behavior
SAGE Publications | 2022
|Study on Lane Change Trajectory Planning Considering of Driver Characteristics
British Library Conference Proceedings | 2018
|Study on Lane Change Trajectory Planning Considering of Driver Characteristics
SAE Technical Papers | 2018
|