A sequence prediction method for driving behavior data is proposed in this paper. The
proposed method can predict a longer latent state sequence of driving behavior data than …

Understanding pedestrians' behavior is a crucial challenge for achieving fully autonomous
driving because it has a high degree of freedom and varies from person to person. This …

For unmanned aircraft to share airspace with manned aircraft, extensive testing is first
required to ensure that such vehicles can fly safely with manned traffic. Safe operation …

Merging into the traffic flow on an expressway is a very challenging driving task. It is
important to understand driver merging behaviors for building an effective driver assistance …

Merging into the flow of high-speed traffic on roadways, such as expressways, is a
demanding driving task for nonexpert drivers. The difficulty of merging is thought to arise …

The aim of this thesis is to investigate how human driving behaviors can be formally
described in mathematical models intended for online personalization of advanced driver …

The driving behavior of a person is influenced by a multitude of local and global factors.
These include nature of the driver, distance between the source and destination, condition of …

This paper presents a profile based modeling method for generation of realistic mobility
pattern for vehicles. It is assumed the profile of the motion of vehicles has a Gaussian profile …

抄録 It is important to understand and predict the behavior of pedestrians, who are
vulnerable road users, for the safe implementation of autonomous driving including on …