This paper presents the design and first test on a simulator of a vehicle trajectory-planning
algorithm that adapts to traffic on a lane-structured infrastructure such as highways. The …

… methods perform trajectory planning directly by using interaction aware driver models in …
real time trajectory planning. In a first approach, we use the well-known ”intelligent driver model” …

… in the loop, these control schemes offer a continuous human–machine interaction since both
the driver and the assistance driving system simultaneously control the vehicle through the …

… uses the Intelligent Driver Model (IDM) to explicitly model the interaction of other drivers and
… the effect on other drivers depending on our own trajectory plans by simulating the nearby …

… detection, driving behavior classification, traffic simulation modeling, etc. In this paper, we
focus on modeling human driving behavior in order to find simplifications for trajectory planning…

… interaction-aware motion planning in dense traffic scenarios. We explore the connection
between human driving behavior and their velocity changes when interacting… RL), an interaction-…

… complex social interactions, we propose a two-stage trajectory planning method that contains
candidate trajectory generation based on HDV driving style recognition, driving intention …

… during the interaction. In this work, a cooperative interaction aware trajectory planning framework
is … is to capture different ways how a driver could interact and use these models to plan …

… To interact with the oncoming vehicles naturally, we use the digital map information and
assume that the other vehicles will continuously drive along their current lanes at their current …

… Using a model that captures the boundaries of likely trajectories and integrating this in a
trajectory planning algorithm, we aim to assist the integration of autonomy into society. The …