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Junartho Halomoan, Kalamullah Ramli, Dodi Sudiana, Teddy Surya Gunawan and Muhammad Salman
More than 1.3 million people are killed in traffic accidents annually. Road traffic accidents are mostly caused by human error. Therefore, an accurate driving fatigue detection system is required for drivers. Most driving fatigue detection studies concen...
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Junartho Halomoan, Kalamullah Ramli, Dodi Sudiana, Teddy Surya Gunawan and Muhammad Salman
One of the WHO?s strategies to reduce road traffic injuries and fatalities is to enhance vehicle safety. Driving fatigue detection can be used to increase vehicle safety. Our previous study developed an ECG-based driving fatigue detection framework with ...
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Xuansu Gao, Chengwu Liao, Chao Chen and Ruiyuan Li
Cycling?as a sustainable and convenient exercise and travel mode?has become increasingly popular in modern cities. In recent years, with the proliferation of sport apps and GPS mobile devices in daily life, the accumulated cycling trajectories have opene...
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Kaili Yang, Weihong Cui, Shu Shi, Yu Liu, Yuanjin Li and Mengyu Ge
Road network extraction plays a critical role in data updating, urban development, and decision support. To improve the efficiency of labeling road datasets and addressing the problems of traditional methods of manually extracting road networks from high...
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Shenming Qu, Huafei Zhou, Bo Zhang and Shengbin Liang
Extracting roads from remote sensing images can support a range of geo-information applications. However, it is challenging due to factors such as the complex distribution of ground objects and occlusion of buildings, trees, shadows, etc. Pixel-wise clas...
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