Pedestrian detection and tracking is a critical task in the area of smart building surveillance.
Due to advancements in sensors, the architects concentrate in construction of smart …

Robotic search of people in human-centered environments, including healthcare settings, is
challenging as autonomous robots need to locate people without complete or any prior …

Robots are flexible machines, where the flexibility is achieved, mainly, by the re-
programming of the robotic system. To fully exploit the potential of robotic systems, an easy …

Robot search for multiple dynamic users within a multi-room environment is important for
social robots to find and engage in various human-robot interaction scenarios with these …

This letter proposes a novel adaptive sample space-based Viterbi algorithm for target
localization in an online manner. The method relies on discretizing the target's motion space …

Anticipation of human movements is of great importance for service robots, as it is necessary
to avoid interferences and predict areas where human–robot collaboration may be needed …

In this paper, we consider the problem of predicting the navigation goal of a moving human
in an indoor environment. Knowledge about this goal can greatly increase the efficiency of …

An important research topic in computer vision is pedestrian detection. Research in this topic
has wide applications using deep learning methods that are capable of learning high-level …

State estimation poses substantial challenges in robotics, often involving encounters with
multimodality in real-world scenarios. To address these challenges, it is essential to …

Robots are flexible machines, where the flexibility is achieved, mainly, by the re-
programming of the robotic system. To fully exploit the potential of robotic systems, an easy …