This paper presents a literature review on Intention-aware and Interaction-aware Trajectory
Prediction for Autonomous Vehicle, which covers primary studies since 2008. The research …

Automated Vehicles aim to increase road safety as automated driving systems (ADS) take
over the human driving task in the operational design domain (ODD), introducing severe …

With the aim to improve road safety services in critical situations, vehicle trajectory and future
location prediction are important tasks. An infinite set of possible future trajectories can exit …

Whether the computer is driving your car or you are, advanced driver assistance systems
(ADAS) come into play on all levels, from weather monitoring to safety. These modern-day …

Road accidents due to vehicles crashing each other not only result in loss of lives but also
cause heavy damage to the infrastructure. Several infrastructural changes, for example …

Automated driving systems need to behave as human-like as possible, especially in highly
interactive scenarios. In this way, the behavior can be better interpreted and predicted by …

The prediction of expressway vehicle trajectories is a crucial aspect in the development of
intelligent expressways. This paper proposes a novel approach, namely the W-GRU …

At present, accurately predicting the long-term trajectory of traffic vehicles for autonomous
vehicles remains a challenging task. Dynamic scenarios often necessitate frequent …

Sparse mobile crowd sensing saves perception cost by recruiting a small number of users to
perceive data from a small number of sub-regions, and then inferring data from the …

The comprehensiveness of vehicle-to-everything (V2X) recognition enriches and holistically
shapes the global Birds-Eye-View (BEV) perception, incorporating rich semantics and …