With growing numbers of intelligent autonomous systems in human environments, the ability
of such systems to perceive, understand, and anticipate human behavior becomes …

Human action recognition and posture prediction aim to recognize and predict respectively
the action and postures of persons in videos. They are both active research topics in …

Internet of Vehicles (IoV) enables numerous in-vehicle applications for smart cities, driving
increasing service demands for processing various contents (eg, videos). Generally, for …

Pedestrian trajectory prediction is an essential task in robotic applications such as
autonomous driving and robot navigation. State-of-the-art trajectory predictors use a …

The recent progress in autonomous vehicle research and development has led to
increasingly widespread testing of fully autonomous vehicles on public roads, where …

Mobility trajectory data is of great significance for mobility pattern study, urban computing,
and city science. Self-driving, traffic prediction, environment estimation, and many other …

Pedestrian path prediction is a very challenging problem because scenes are often crowded
or contain obstacles. Existing state-of-the-art long short-term memory (LSTM)-based …

Autonomous driving vehicles can effectively improve traffic conditions and promote the
development of intelligent transportation systems. An autonomous vehicle can be divided …

Although autonomous driving technology has made tremendous progress in recent years, it
is still challenging to predict the intentions and trajectories of pedestrians. The state-of-the …

The present disclosure provides various approaches for smart area monitoring suitable for
parking garages or other areas. These approaches may include ROI-based occupancy …