Recent advances in the areas of multimodal machine learning and artificial intelligence (AI)
have led to the development of challenging tasks at the intersection of Computer Vision …

Reinforcement learning (RL) was first demonstrated to be a feasible approach to controlling
heating, ventilation, and air conditioning (HVAC) systems more than a decade ago …

Occupancy information is critical for buildings, as it can substantially impact energy
consumption. However, occupancy is highly unpredictable, and depends on occupants' …

The capillary spread of personal devices equipped with wireless communication capabilities
has enabled a series of high level services which build on capturing and processing the …

Human sensing, motion trajectory estimation, and identification are central to a wide range
of applications in many domains such as retail stores, surveillance, public safety, public …

With the rise of hailing services, people are increasingly relying on shared mobility (eg,
Uber, Lyft) drivers to pick up for transportation. However, such drivers and riders have …

Smart buildings have gained increasing interest recently by providing several advanced
solutions, especially AI-based solutions. Activity recognition and occupancy estimation are …

Smart public transportation is one of the main components of a smart city. The current work
develops a low-cost Internet of Things (IoT) solution to estimate occupancy and monitor fine …

Human sensing, motion trajectory estimation, and identification are crucial to applications
such as customer analysis, public safety, smart homes and cities, and access control. In the …

Computational context understanding refers to an agent's ability to fuse disparate sources of
information for decision-making and is, therefore, generally regarded as a prerequisite for …