Advanced air mobility (AAM) is being developed to address complex transportation challenges in urban environments. In this study, a scaled model of a boxed-wing tiltrotor AAM has been designed and implemented through ...
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Target tracking in infrared images is actively researched in computer vision. Unlike RGB images, infrared images rely on a single channel of thermal signals, making them vulnerable to issues such as non-uniform illumi...
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ISBN:
(数字)9798331520403
ISBN:
(纸本)9798331520410
Target tracking in infrared images is actively researched in computer vision. Unlike RGB images, infrared images rely on a single channel of thermal signals, making them vulnerable to issues such as non-uniform illumination and noise. In this study, we propose integrating CLAHE (Contrast-Limited Adaptive Histogram Equalization), a preprocessing technique, into the SiamRPN framework, a widely used Siamese network-based tracker. CLAHE enhances local contrast while maintaining computational efficiency, enabling robust tracking, even in resource-constrained environments. The performance of the proposed method was evaluated using challenging subsets of the LSOTB-TIR dataset, selected to represent conditions where standard models typically struggle. Experimental results demonstrate that the CLAHE-enhanced SiamRPN achieves significant improvements in accuracy and robustness compared to the baseline model, particularly in environments with low contrast and complex backgrounds. These findings suggest that CLAHE can be a practical solution for improving performance in environments with limited computational resources.
Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitati...
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Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze continued...challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative
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