Automatic overtaking is a challenging task for self-driving vehicles. Traditional rule-based
methods for overtaking in autonomous driving heavily rely on many predefined rules and are …

Evaluating the individual movements for teammates in soccer players is crucial for
assessing teamwork, scouting, and fan engagement. It has been said that players in a 90 …

Multi-agent trajectory prediction is crucial for various practical applications, spurring the
construction of many large-scale trajectory datasets, including vehicles and pedestrians …

Analysis of invasive sports such as soccer is challenging because the game situation
changes continuously in time and space, and multiple agents individually recognize the …

With recent advances in artificial intelligence (AI) and robotics, unmanned vehicle swarms
have received great attention from both academia and industry due to their potential to …

Trajectory prediction in traffic scenes involves accurately forecasting the behaviour of
surrounding vehicles. To achieve this objective it is crucial to consider contextual …