Shuo Pan

Shuo Pan
Beijing University of Technology | Bei Gong Da

About

6
Publications
328
Reads
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62
Citations

Publications

Publications (6)
Article
Urban streets exhibit a diverse range of characteristics, with some presenting significant challenges to ambulance passage, directly impacting the safety of residents. Thus, ensuring unimpeded passage for ambulances on streets is a key focus of urban renewal and street governance initiatives. However, the identification of bottlenecks for emergency...
Article
Traffic sign recognition is crucial for sustainable utilization of road assets. However, on real roads, traffic signs are often obscured, making their recognition challenging. Unfortunately, existing research lacks specific analysis of the impact of traffic sign occlusion and methods to improve recognition in such scenarios. This study quantitative...
Article
Real-time monitoring and analysis of sensitive areas in high-speed railway (HSR) are crucial for ensuring the safe and smooth operation of high-speed trains. To address the problem of frequent missing and false alarms caused by anomaly data in HSR monitoring system, this study proposes an innovative network framework: Intelligent detection network...
Article
During the regular service life of high‐speed railway (HSR), there might be serious defects in the concrete slabs of the infrastructure systems, which may further significantly affect public transportation safety. To address these serious issues and fulfill the regular functions of HSR, the traditional methods for railway engineers involve carrying...
Article
Full-text available
Texture is a crucial characteristic of roads, closely related to their performance. The recognition of pavement texture is of great significance for road maintenance professionals to detect potential safety hazards and carry out necessary countermeasures. Although deep learning models have been applied for recognition, the scarcity of data has alwa...
Article
Automatic monitoring of pavement structure health has always been a significant problem for transportation engineers. Although the generative adversarial network (GAN) has proven to be an effective tool for improving pavement distress recognition accuracy, it may lead to increased computational cost, which inconsistent with the requirements of engi...

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