This paper presents the RaDICAL sensing framework, a monostatic passive radar concept that combines a Sparse Uniform Circular Array (SUCA), deterministic multifrequency dither, and dictionary-based waveform recognition for target detection and classi...
UAV visual perception is increasingly important for intelligent transportation monitoring, infrastructure inspection, emergency response, and low-altitude surveillance. However, reliable target localization remains challenging in complex scenes where...
The development of Geospatial Artificial Intelligence (GeoAI), combining deep learning and remote sensing imagery, is of great interest for automated spatial inference and decision-making support. In this paper, a GeoAI-based efficient object detecti...
Point clouds are a fundamental sensing modality for object perception, scene understanding, and robotic interaction in modern three-dimensional sensing systems. Effective point-cloud understanding requires representations that preserve intrinsic geom...
The paper discusses an integrated methodology to implement an interactive augmented reality 3D modelling environment with natural interaction, empowered by real-time gesture recognition. The methodology is developed from a geometry-sculpting algorith...
Reliable fault diagnosis of rolling bearings is essential for ensuring the safe and stable operation of rotating machinery. However, existing diagnostic models are often hindered by the strong non-stationarity and weak fault characteristics of vibrat...
This paper proposes an experimental path aimed at guiding upper secondary school students to overcome that discontinuity, often perceived by them, between learning geometry and learning algebra. This path contributes to making students aware of how t...
Remote sensing images are critical for extracting land surface information, supporting land-use planning and ecological protection. While remote sensing image segmentation automatically identifies target regions within complex scenes, existing method...
Dexterous robotic grasping with multifingered hands remains a critical challenge in non-visual environments, where diverse object geometries and material properties demand adaptive force modulation and tactile-aware manipulation. To address this, we...
High-resolution engineering drawings are commonly analyzed in overlapping tiles, which can produce several predictions showing different extents of the same object. Such observations may have low intersection-over-union despite substantial foreground...
Agrivoltaic systems co-locate photovoltaic (PV) arrays and crops, offering land-use efficiency and potential microclimate benefits, yet they introduce new challenges for computer-vision-based crop monitoring. PV structures produce strong, spatially v...
Accurate identification of rear light signals in preceding vehicles is pivotal for Advanced Driver Assistance Systems (ADAS), enabling early detection of driver intentions and thereby improving road safety. In this work, we present a novel approach t...
Precise recognition and localization of electronic components on printed circuit boards (PCBs) are crucial for industrial automation tasks, including robotic disassembly, high-precision assembly, and quality inspection. However, strong visual interfe...