Robot navigation in crowded public spaces is a complex task that requires addressing a
variety of engineering and human factors challenges. These challenges have motivated a …

In crowd scenarios, predicting trajectories of pedestrians is a complex and challenging task
depending on many external factors. The topology of the scene and the interactions …

Crowd simulation has emerged in the last decade as a widely used method of visual effects,
computer games, and urban planning, etc. The improvement of hardware performance and …

Human crowds often bear a striking resemblance to interacting particle systems, and this
has prompted many researchers to describe pedestrian dynamics in terms of interaction …

We present a human-centric method to sample and synthesize 3D room layouts and 2D
images thereof, for the purpose of obtaining large-scale 2D/3D image data with the perfect …

Since the first edition of this book in 2007, there has been a fast evolution in Virtual Reality.
Palmer Luckey designed a prototype for what would become the Oculus Rift Virtual Reality …

Human trajectory forecasting in crowds, at its core, is a sequence prediction problem with
specific challenges of capturing inter-sequence dependencies (social interactions) and …

The real‐time simulation of human crowds has many applications. Simulating how the
people in a crowd move through an environment is an active and ever‐growing research …

The integrated use of building information modeling (BIM) and geographic information
system (GIS) is promising for the development of asset management systems (AMSs) for …

In human crowds as well as in many animal societies, local interactions among individuals
often give rise to self-organized collective organizations that offer functional benefits to the …