To address the issue of increased triangulation uncertainty caused by selecting views with small camera baselines in Structure from Motion (SFM) view selection, this paper proposes a robust error-resistant view selection method. The method utilizes a triangulation-based computation to obtain an&#...

In this paper, we present an autonomous control system for Unmanned Aerial Vehicles (UAVs), specifically designed to inspect a detected suspicious vessel and capture information-rich images in a maritime environment. The maritime environment is ever-changing and uncertain, making it challenging t...

In Visual SLAM, achieving accurate feature matching consumes a significant amount of time, severely impacting the real-time performance of the system. This paper proposes an accelerated method for Visual SLAM by integrating GMS (Grid-based Motion Statistics) with RANSAC (Random Sample Consensus)&...

To address the issue of feature descriptors being ineffective in representing grayscale feature information when images undergo high affine transformations, leading to a rapid decline in feature matching accuracy, this paper proposes a region feature descriptor based on simulating affine transfor...

To address the poor performance of navigation line extraction for agricultural robots in complex open-field corn (<i>Zea mays</i> L.) environments during the 6–8 leaf growth stage, this study proposes an accurate and efficient navigation baseline extraction method based on an imp...

Basalt fibre-reinforced polymer (BFRP) dowel bars offer a corrosion-resistant alternative to steel dowels for jointed concrete infrastructure, particularly in aggressive marine environments. However, the durability of full-scale BFRP dowels remains insufficiently understood because their shear-dominated behavior dif...

While limestone calcined clay cement (LC3) can reduce CO2 emissions by up to 50%, low early-age strength in low-clinker formulations limits its structural adoption. This study investigates practical strategies to accelerate early strength development in low-clinker LC3 mortars (clinker fraction ~...

Against the backdrop of ongoing green AI research to reduce the environmental footprint of artificial intelligence technology, a new supervised machine learning approach is presented with potential to contribute to the development of artificial systems capable of learning incrementally from new&#...

Purpose: Technology-mediated gift-giving is prevailing as consumers seek convenience and novelty. Using an industry example, this study aims to explore how a subscription-based online gift-giving service contributes to the recipient’s well-being, both from sender and recipient perspectives. &#...