Recent advancements and the collaboration between the groundbreaking artificial intelligence (AI), with the wider visibility sparked by generative AI in late 2022, and quantum computing technologies have the potential...
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Fatigue driving is a longstanding hazard in the field of road traffic safety. The factors such as longtime driving, lack of sleep, and work pressure result in driver fatigue which impair driver ability to detect and r...
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ISBN:
(纸本)9798400708305
Fatigue driving is a longstanding hazard in the field of road traffic safety. The factors such as longtime driving, lack of sleep, and work pressure result in driver fatigue which impair driver ability to detect and respond to sudden situations, and increase the risk of serious traffic accidents. This paper proposes a novel method for driver fatigue detection based on YOLOv5 algorithm. Firstly, a fatigue detection dataset is collected and created for this purpose. The YOLOv5 algorithm is then utilized to detect driver multiple facial fatigue features such as yawning, closed eyes, and head nodding, and the driver's fatigue status is determined based on the statistical frequency of the three fatigue characteristics. Furthermore, the YOLOv5 trained model is deployed on the Tensor Processing Unit (TPU) computing device. The experimental results demonstrated that the YOLOv5 algorithm model achieved a mAP@0.5 of 98.51% when evaluated on the validation sets. The driver fatigue detection system deployed on the TPU computing device can perform at 25 fps with an average accuracy of 93.8%. This system can monitor the driver's status in real time in practical applications, timely remind drivers to pay attention to safety, and help reduce the risk of traffic accidents caused by fatigue driving.
In modern wireless communication systems using multiple antenna elements, accurately identifying the signals contained in the received signal is very important. Conventional signal number estimation algorithms operate...
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Cloud computing has grown rapidly, but data breaches and unauthorized account access remain a persistent threat. Commonly used cryptographic authentication methods rely on mathematically complex but computationally in...
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Polar codes represent a significant advancement in coding theory as they approach the Shannon limit of a channel with low encoding and decoding complexity. 6G wireless communication, as a successor of 5G, will usher i...
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This study introduces the research methods for detecting changes in the mangroves of Dongzhaigang, Hainan from 2019 to 2023. Mangrove ecosystems play a crucial role in providing habitats and have ecological and econom...
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Brain tumours are a significant contributor to mortality rates in the population. The early detection and accurate classification of a tumour can significantly enhance the likelihood of survival. Magnetic resonance im...
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This paper presents a software-hardware (SW-HW) co-optimization approach for DRAM in-memory computing, significantly reducing sense amplifier read power in 2T1C cell systems. By transitioning from 2's complement t...
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Fractions are always better calculated for judgment of precise and accurate value. Sometimes division may yield particulars in decimal form, there the importance of the fraction comes with its own value. The current m...
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The increasing prevalence of cardiovascular diseases necessitates efficient long-term ECG monitoring. However, the large volumes of generated data pose transmission and storage challenges. This work presents a realtim...
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