Soaibuzzaman ..

Bauhaus-Universität Weimar ·  Faculty of Media

Power line insulator detection is pivotal for the consistent performance of the entire power system. It forms the basis of Unmanned Aerial Vehicle (UAV) inspection, an emerging trend in power line surveillance. This paper addresses the challenge of insulator detection in cluttered aerial images, given the constraints of a limited dataset and lower...

Detection of the power line insulators from a cluttered background of aerial images is crucial for the steady and dependable operation of the complete power system. Besides, object detection is among the most challenging disciplines of computer vision and image processing. It becomes even more challenging regarding resource and power-constrained em...

In the past years, the object detection applications have witnessed a rapid increase in usage of deep-learning (DL) based solutions, due to their accurate object detection, and robustness to illumination, scale, clutter, rotation changes, etc. Therefore, DL-based approaches started to be used in real-time applications. In an autonomous aerial inspe...

In this paper, we introduce an integrated smart parking system. The proposed integrated smart parking system brings multiple parking service providers together under a unified platform aiming to provide one-stop parking information services to the commuters in a smart city. However, the adaptation of such a system is prone to tempering while a mass...