Abstract: Autonomous vehicles require real-time image processing to improve their capabilities by allowing them to understand and respond appropriately to their environment. This paper examines the ...
Abstract: Precision agriculture is a novel approach to increase the productivity of crops that employs recent technologies such as Artificial Intelligence, WSN, cloud computing, Machine Learning, and ...
Abstract: Modern depth sensors such as LiDAR operate by sweeping laser-beams across the scene, resulting in a point cloud with notable 1 D curve-like structures. In this work, we introduce a new point ...
Abstract: To address the issue of insufficient automation in robotic welding for ship small assemblies, this study develops a welding technology based on point cloud processing. The research utilizes ...
Abstract: Pallet detection and localization is a fundamental task in the process of logistics automation. Accurate estimation of the pallet's pose contributes to enhanced efficiency and safety. This ...
Abstract: The recent advancements in the surging field of Deep Learning (DL) have revolutionized every sphere of life, and the healthcare domain is no exception. The enormous success of DL models, ...
Abstract: Driving heavy vehicles at high speeds through construction sections can pose significant dangers. Implementing a ground speed radar system during construction progress is challenging due to ...
Abstract: Potatoes are among the major vegetables in agricultural regions, and it is farmed and utilized all over the world. Potatoes are a high-protein food with several health benefits, but there ...
Abstract: Sports action recognition and evaluation depending on video image key point detection contains analyzing athletes’ movements by determining critical body joint and landmark in video frames.
Abstract: Extremely large-scale multiple-input-multiple-output (XL-MIMO), which offers vast spatial degrees of freedom, has emerged as a potentially pivotal enabling technology for the sixth ...
Abstract: Transformer is leading a trend in the field of image processing. While existing lightweight image processing transformers have achieved notable success, they primarily focus on reducing ...
Abstract: Place recognition technology can eliminate cumulative errors and thus plays a vital role in autonomous driving. In this paper, the composite feature of point cloud and image data is obtained ...
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