5 papers
Fast Human Attention Prediction for Fixation-guided Active Perception in Autonomous Navigation
Fatma Youssef Mohammed, Grzegorz Malczyk, Kostas Alexis
Human visual attention relies on structured scanpaths to efficiently process scenes, yet instilling this behavior into robot autonomy is in its infancy and hindered by the high,com…
Diffusion-based RGB-D Semantic Segmentation with Deformable Attention Transformer
Minh Bui, Kostas Alexis
Vision-based perception and reasoning is essential for scene understanding in any autonomous system. RGB and depth images are commonly used to capture both the semantic and geometr…
Simultaneous Triggering and Synchronization of Sensors and Onboard Computers
Morten Nissov, Nikhil Khedekar, Kostas Alexis
High fidelity estimation algorithms for robotics require accurate data. However, timestamping of sensor data is a key issue that rarely receives the attention it deserves. Inaccura…
PG-LIO: Photometric-Geometric fusion for Robust LiDAR-Inertial Odometry
Nikhil Khedekar, Kostas Alexis
LiDAR-Inertial Odometry (LIO) is widely used for accurate state estimation and mapping which is an essential requirement for autonomous robots. Conventional LIO methods typically r…
Unified Attention Modeling for Efficient Free-Viewing and Visual Search via Shared Representations
Fatma Youssef Mohammed, Kostas Alexis
Computational human attention modeling in free-viewing and task-specific settings is often studied separately, with limited exploration of whether a common representation exists be…