This paper applies the Skopos theory to discussing the principles of Chinese-English translation of road signs,namely conforming to international conventions and English expression norms,providing information,and show...This paper applies the Skopos theory to discussing the principles of Chinese-English translation of road signs,namely conforming to international conventions and English expression norms,providing information,and showing local culture at the same time.展开更多
As world automakers speed into operations in China,analysts are reminding them to proceed with caution "We have no intention of letting up on the accelerator," Kevin E. Wale, President and Managing Director ...As world automakers speed into operations in China,analysts are reminding them to proceed with caution "We have no intention of letting up on the accelerator," Kevin E. Wale, President and Managing Director of the GM China Group, said in early January, discussing the American automaker's plans for China. Similar to GM, China's top-selling foreign automaker, Ford says it is ready to shift its comprehensive expansion in the展开更多
As the developing of the traffic and transport, road signs coating materials become important more and more. This paper introduces the development and current situation of the traffic marking coating and discusses its...As the developing of the traffic and transport, road signs coating materials become important more and more. This paper introduces the development and current situation of the traffic marking coating and discusses its raw material and application operation. C 5 petroleum resin made in china is used as major material in a hot melt traffic marking coating. To get the best material composition, orthogonal test is used and wear resistant, water resistant, acidity proof, alkaline proof, adhesive strength, fluid characteristic of the coating is researched.展开更多
The infrastructure and construction of roads are crucial for the economic and social development of a region,but traffic-related challenges like accidents and congestion persist.Artificial Intelligence(AI)and Machine ...The infrastructure and construction of roads are crucial for the economic and social development of a region,but traffic-related challenges like accidents and congestion persist.Artificial Intelligence(AI)and Machine Learning(ML)have been used in road infrastructure and construction,particularly with the Internet of Things(IoT)devices.Object detection in Computer Vision also plays a key role in improving road infrastructure and addressing trafficrelated problems.This study aims to use You Only Look Once version 7(YOLOv7),Convolutional Block Attention Module(CBAM),the most optimized object-detection algorithm,to detect and identify traffic signs,and analyze effective combinations of adaptive optimizers like Adaptive Moment estimation(Adam),Root Mean Squared Propagation(RMSprop)and Stochastic Gradient Descent(SGD)with the YOLOv7.Using a portion of German traffic signs for training,the study investigates the feasibility of adopting smaller datasets while maintaining high accuracy.The model proposed in this study not only improves traffic safety by detecting traffic signs but also has the potential to contribute to the rapid development of autonomous vehicle systems.The study results showed an impressive accuracy of 99.7%when using a batch size of 8 and the Adam optimizer.This high level of accuracy demonstrates the effectiveness of the proposed model for the image classification task of traffic sign recognition.展开更多
Distracted driving occurs when a driver diverts the primary attention from driving to another task. Using mobile devices such as a cellphone for texting, calls, or other manipulation while driving has the highest pote...Distracted driving occurs when a driver diverts the primary attention from driving to another task. Using mobile devices such as a cellphone for texting, calls, or other manipulation while driving has the highest potential for distraction because it combines both forms of distractions, manual, visual, and cognitive. Some states in the US have posted slogans including “</span><i><span style="font-family:Verdana;">W</span></i><span style="font-family:Verdana;">8 2 </span><i><span style="font-family:Verdana;">TXT</span></i><span style="font-family:Verdana;">, </span><i><span style="font-family:Verdana;">it</span></i><span style="font-family:Verdana;">’</span><i><span style="font-family:Verdana;">s</span></i> <i><span style="font-family:Verdana;">a</span></i> <i><span style="font-family:Verdana;">law</span></i><span style="font-family:Verdana;">”, “</span><i><span style="font-family:Verdana;">Don</span></i><span style="font-family:Verdana;">’</span><i><span style="font-family:Verdana;">t</span></i> <i><span style="font-family:Verdana;">Drive</span></i> <i><span style="font-family:Verdana;">inTEXTicated</span></i><span style="font-family:Verdana;">”, “</span><i><span style="font-family:Verdana;">PLS</span></i> <i><span style="font-family:Verdana;">dnt</span></i> <i><span style="font-family:Verdana;">txt</span></i> <i><span style="font-family:Verdana;">n</span></i> <i><span style="font-family:Verdana;">drv</span></i><span style="font-family:Verdana;">”, “</span><i><span style="font-family:Verdana;">Don</span></i><span style="font-family:Verdana;">’</span><i><span style="font-family:Verdana;">t</span></i> <i><span style="font-family:Verdana;">tempt</span></i> <i><span style="font-family:Verdana;">F</span></i><span style="font-family:Verdana;">8 </span><i><span style="font-family:Verdana;">that</span></i> <i><span style="font-family:Verdana;">txt</span></i> <i><span style="font-family:Verdana;">can</span></i> <i><span style="font-family:Verdana;">w</span></i><span style="font-family:Verdana;">8”, </span><i><span style="font-family:Verdana;">and</span></i><span style="font-family:Verdana;"> “</span><i><span style="font-family:Verdana;">DNT</span></i> <i><span style="font-family:Verdana;">TXT</span></i> <i><span style="font-family:Verdana;">&</span></i> <i><span style="font-family:Verdana;">DRV</span></i><span style="font-family:Verdana;">” along highways to convey the dan</span><span style="font-family:Verdana;">gers and laws regarding distracted driving to minimize incidences of dis</span><span style="font-family:Verdana;">tracted-related crashes This study surveyed 347 people using the five distraction slogans in a college town. The results showed that younger drivers have a higher level of comprehension compared to older drivers. Further, the results showed that drivers with university education or more years of driving experience have a higher comprehension level of distraction signs compared to their counterparts.展开更多
With the rapid development of urban, the scale of the city is expanding day by day. The road environment is becoming more and more complicated. The vehicle ego-localization in complex road environment puts forward imp...With the rapid development of urban, the scale of the city is expanding day by day. The road environment is becoming more and more complicated. The vehicle ego-localization in complex road environment puts forward imperative requirements for intelligent driving technology. The reliable vehicle ego-localization, including the lane recognition and the vehicle position and attitude estimation, at the complex traffic intersection is significant for the intelligent driving of the vehicle. In this article, we focus on the complex road environment of the city, and propose a pose and position estimation method based on the road sign using only a monocular camera and a common GPS (global positioning system). Associated with the multi-sensor cascade system, this method can be a stable and reliable alternative when the precision of multi-sensor cascade system decreases. The experimental results show that, within 100 meters distance to the road signs, the pose error is less than 2 degrees, and the position error is less than one meter, which can reach the lane-level positioning accuracy. Through the comparison with the Beidou high-precision positioning system L202, our method is more accurate for detecting which lane the vehicle is driving on.展开更多
基金This research was funded by 2022 Undergraduate Innovation and Entrepreneurship Training Program at the College Level,First-Class Curriculum Construction Program of USST“English Interpreting Ability Training”(YLKC202204)The Eleventh China Foreign Language Education Fund Project“On the blended teaching model of interpretation course with the synergistic development of interpretation ability and critical thinking ability”(ZGWYJYJJ11A071).
文摘This paper applies the Skopos theory to discussing the principles of Chinese-English translation of road signs,namely conforming to international conventions and English expression norms,providing information,and showing local culture at the same time.
文摘As world automakers speed into operations in China,analysts are reminding them to proceed with caution "We have no intention of letting up on the accelerator," Kevin E. Wale, President and Managing Director of the GM China Group, said in early January, discussing the American automaker's plans for China. Similar to GM, China's top-selling foreign automaker, Ford says it is ready to shift its comprehensive expansion in the
文摘As the developing of the traffic and transport, road signs coating materials become important more and more. This paper introduces the development and current situation of the traffic marking coating and discusses its raw material and application operation. C 5 petroleum resin made in china is used as major material in a hot melt traffic marking coating. To get the best material composition, orthogonal test is used and wear resistant, water resistant, acidity proof, alkaline proof, adhesive strength, fluid characteristic of the coating is researched.
文摘The infrastructure and construction of roads are crucial for the economic and social development of a region,but traffic-related challenges like accidents and congestion persist.Artificial Intelligence(AI)and Machine Learning(ML)have been used in road infrastructure and construction,particularly with the Internet of Things(IoT)devices.Object detection in Computer Vision also plays a key role in improving road infrastructure and addressing trafficrelated problems.This study aims to use You Only Look Once version 7(YOLOv7),Convolutional Block Attention Module(CBAM),the most optimized object-detection algorithm,to detect and identify traffic signs,and analyze effective combinations of adaptive optimizers like Adaptive Moment estimation(Adam),Root Mean Squared Propagation(RMSprop)and Stochastic Gradient Descent(SGD)with the YOLOv7.Using a portion of German traffic signs for training,the study investigates the feasibility of adopting smaller datasets while maintaining high accuracy.The model proposed in this study not only improves traffic safety by detecting traffic signs but also has the potential to contribute to the rapid development of autonomous vehicle systems.The study results showed an impressive accuracy of 99.7%when using a batch size of 8 and the Adam optimizer.This high level of accuracy demonstrates the effectiveness of the proposed model for the image classification task of traffic sign recognition.
文摘Distracted driving occurs when a driver diverts the primary attention from driving to another task. Using mobile devices such as a cellphone for texting, calls, or other manipulation while driving has the highest potential for distraction because it combines both forms of distractions, manual, visual, and cognitive. Some states in the US have posted slogans including “</span><i><span style="font-family:Verdana;">W</span></i><span style="font-family:Verdana;">8 2 </span><i><span style="font-family:Verdana;">TXT</span></i><span style="font-family:Verdana;">, </span><i><span style="font-family:Verdana;">it</span></i><span style="font-family:Verdana;">’</span><i><span style="font-family:Verdana;">s</span></i> <i><span style="font-family:Verdana;">a</span></i> <i><span style="font-family:Verdana;">law</span></i><span style="font-family:Verdana;">”, “</span><i><span style="font-family:Verdana;">Don</span></i><span style="font-family:Verdana;">’</span><i><span style="font-family:Verdana;">t</span></i> <i><span style="font-family:Verdana;">Drive</span></i> <i><span style="font-family:Verdana;">inTEXTicated</span></i><span style="font-family:Verdana;">”, “</span><i><span style="font-family:Verdana;">PLS</span></i> <i><span style="font-family:Verdana;">dnt</span></i> <i><span style="font-family:Verdana;">txt</span></i> <i><span style="font-family:Verdana;">n</span></i> <i><span style="font-family:Verdana;">drv</span></i><span style="font-family:Verdana;">”, “</span><i><span style="font-family:Verdana;">Don</span></i><span style="font-family:Verdana;">’</span><i><span style="font-family:Verdana;">t</span></i> <i><span style="font-family:Verdana;">tempt</span></i> <i><span style="font-family:Verdana;">F</span></i><span style="font-family:Verdana;">8 </span><i><span style="font-family:Verdana;">that</span></i> <i><span style="font-family:Verdana;">txt</span></i> <i><span style="font-family:Verdana;">can</span></i> <i><span style="font-family:Verdana;">w</span></i><span style="font-family:Verdana;">8”, </span><i><span style="font-family:Verdana;">and</span></i><span style="font-family:Verdana;"> “</span><i><span style="font-family:Verdana;">DNT</span></i> <i><span style="font-family:Verdana;">TXT</span></i> <i><span style="font-family:Verdana;">&</span></i> <i><span style="font-family:Verdana;">DRV</span></i><span style="font-family:Verdana;">” along highways to convey the dan</span><span style="font-family:Verdana;">gers and laws regarding distracted driving to minimize incidences of dis</span><span style="font-family:Verdana;">tracted-related crashes This study surveyed 347 people using the five distraction slogans in a college town. The results showed that younger drivers have a higher level of comprehension compared to older drivers. Further, the results showed that drivers with university education or more years of driving experience have a higher comprehension level of distraction signs compared to their counterparts.
基金This work was supported by the Key Project of National Natural Science Foundation of China under Grant No. 61332015 and the Natural Science Foundation of Shandong Province of China under Grant Nos. ZR2013FM302 and ZR2017MF057.
文摘With the rapid development of urban, the scale of the city is expanding day by day. The road environment is becoming more and more complicated. The vehicle ego-localization in complex road environment puts forward imperative requirements for intelligent driving technology. The reliable vehicle ego-localization, including the lane recognition and the vehicle position and attitude estimation, at the complex traffic intersection is significant for the intelligent driving of the vehicle. In this article, we focus on the complex road environment of the city, and propose a pose and position estimation method based on the road sign using only a monocular camera and a common GPS (global positioning system). Associated with the multi-sensor cascade system, this method can be a stable and reliable alternative when the precision of multi-sensor cascade system decreases. The experimental results show that, within 100 meters distance to the road signs, the pose error is less than 2 degrees, and the position error is less than one meter, which can reach the lane-level positioning accuracy. Through the comparison with the Beidou high-precision positioning system L202, our method is more accurate for detecting which lane the vehicle is driving on.