Aiming at the problems of difficult feature extraction and low recognition accuracy of coal
and gangue, this paper proposes a recognition method based on dielectric and geometric …

A highly detailed sensing of a vehicle's surrounding environment is a key requirement for the
advancement of autonomous driving technology. While conventional automotive radar …

This study presents a method for enhancing the accuracy of object detection in industrial
automation applications using ResNet18-based image segmentation. The objective is to …

The development of an automotive surface recognition system is an important and yet
unsolved task. In the current study we are considering a novel approach to surface …

This study explores the scattering of signals within the mm and low Terahertz frequency
range, represented by frequencies 79 GHz, 150 GHz, 300 GHz, and 670 GHz, from surfaces …

The presence of rain can negatively affect the performance of many sensors such as X-band
radar. In this paper, an effective approach is proposed to mitigate the effect of rain on …

In a rapidly evolving landscape where automated systems and database applications are
increasingly crucial, there is a pressing need for precise and efficient object recognition …

This paper presents a first example of experimental results of the application of Doppler
beam sharpening (DBS) to enhance the resolution and detectability of maritime targets at a) …

In this paper, we present a novel sensor-based system to perform defect inspection tasks
automatically over free-form specular surfaces. The inspection procedure is performed by a …

Use of sub-THz radar for automotive applications brings many potential game changing
advantages, in terms of sensor size and imaging capabilities. We discuss the fundamentals …