Abstract The term" Smart Classroom" has evolved over time and nowadays reflects the
technological advancements incorporated in educational spaces. The rapid advances in …

Since its inception in 1997, RoboCup has developed into a truly unique and long-standing
research community advancing robotics and artificial intelligence through various …

Mobile autonomous robots include numerous sensors for environment perception. Cameras
are an essential tool for robot's localization, navigation, and obstacle avoidance. To process …

We present a dataset specifically designed to be used as a benchmark to compare vision
systems in the RoboCup Humanoid Soccer domain. The dataset is composed of a collection …

During the years, the concept of Smart Classroom” evolved to reflect technological
advances. This survey provides a review of research work on smart classroom technologies …

This work presents a study for building a Deep Vision pipeline suitable for the Robocup
Standard Platform League, a humanoid robot soccer tournament. Specifically, we focus on …

Abstract In the RoboCup Small Size League (SSL), teams are encouraged to propose
solutions for executing basic soccer tasks inside the SSL field using only embedded sensing …

This paper describes a C++ library that compiles neural network models at runtime into
machine code that performs inference. This approach in general promises to achieve the …

Object detection techniques that achieve state-of-the-art detection accuracy employ
convolutional neural networks, implemented to have lower latency in graphics processing …

Object detection is an essential and impactful technology in various fields due to its ability to
automatically locate and identify objects in images or videos. In addition, object-distance …