In this study, we introduce a novel pipeline for synthetic data generation of textured surfaces, motivated by the limitations of conventional methods such as Generative Adversarial Networks (GANs) and Computer-Aided Design ...

The recent state of VR technology enables users to have quick and easy access to multiple VR functionalities, prompting researchers to explore various aspects of user experiences in virtual environments. In this work, we ...

This paper reports on the development of a real-time voice interface for navigation purposes of electric wheelchairs. To this end, we employ a convolutional neural network trained and fine-tuned using a small dataset that ...

Earthquakes have a significant impact on societies and economies, driving the need for effective search and rescue strategies. With the growing role of AI and robotics in these operations, high-quality synthetic visual ...

femtoPro provides an immersive laser laboratory experience for training, experimentation and analysis. In this paper, we present its programmatic design and architecture driven by requirements such as: accurate (non-)linear ...

We propose a simplification-aware untangling algorithm for 2D layered shapes stacked on each other. While the shape undergoes simplification, our approach adjusts the vertex positions to prevent collision with other layers ...