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FOTON Continues to hold its Championship as Global Largest Commercial Vehicle Manufacturer
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《ChinAfrica》 2011年第7期53-53,共1页
Latest data from the China Association of Automobile Manufacturers(CAAM) shows that through 2010.China’s automobile sales surpassed 18 million, breaking the world record of annual auto sales previously held by the Un... Latest data from the China Association of Automobile Manufacturers(CAAM) shows that through 2010.China’s automobile sales surpassed 18 million, breaking the world record of annual auto sales previously held by the United States.Now that China has become a major global auto production player, how is Foton faring? CAAM statistics said production and sales volume of 展开更多
关键词 FOTON Continues to hold its Championship as Global Largest Commercial vehicle Manufacturer In
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Size-self-adaptive recognition method of vehicle manufacturer logos based on feature extraction and SVM classifier
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作者 Wenting LU Honggang ZHANG +1 位作者 Kunyan LAN Jun GUO 《Frontiers of Electrical and Electronic Engineering in China》 CSCD 2010年第1期77-84,共8页
Besides their decorative purposes,vehicle manufacturer logos can provide rich information for vehicle verification and classification in many applications such as security and information retrieval.However,unlike the ... Besides their decorative purposes,vehicle manufacturer logos can provide rich information for vehicle verification and classification in many applications such as security and information retrieval.However,unlike the license plate,which is designed for identification purposes,vehicle manufacturer logos are mainly designed for decorative purposes such that they might lack discriminative features themselves.Moreover,in practical applications,the vehicle manufacturer logos captured by a fixed camera vary in size.For these reasons,detection and recognition of vehicle manufacturer logos are very challenging but crucial problems to tackle.In this paper,based on preparatory works on logo localization and image segmentation,we propose a size-self-adaptive method to recognize vehicle manufacturer logos based on feature extraction and support vector machine(SVM)classifier.The experimental results demonstrate that the proposed method is more effective and robust in dealing with the recognition problem of vehicle logos in different sizes.Moreover,it has a good performance both in preciseness and speed. 展开更多
关键词 vehicle manufacturer logo recognition feature extraction support vector machine(SVM) size-selfadaptive
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The Future of China's Automobile Industry
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作者 Yin Xing-min 《Fudan Journal of the Humanities and Social Sciences》 2010年第3期39-69,共31页
The paper analyses the changes in the China's auto industry, showing how the rapid growth in production and sales between 2000 and 2008 came largely from the economic growth. The emergence of homegrown assemblers str... The paper analyses the changes in the China's auto industry, showing how the rapid growth in production and sales between 2000 and 2008 came largely from the economic growth. The emergence of homegrown assemblers strengthened fierce competition for all assemblers and resulted in the spreading of regional auto production networks with linkage to leading international automakers. This move integrated China's major regional production into the global chain and speeded up technology spillovers in the automobile industry. The paper reveals how the relationships between homegrown makers and joint ventures have been coordinated within the framework of local production networks, which turn out to have a highly localized production capacity. Furthermore, the results stand testimony for the fact that China's auto industry is becoming competitive through learning-by-doing. In the future outlook, the growing economy in China will be the most influential driving force to shift the global auto industry into China, which will turn out to be a super auto giant in the coming decade. 展开更多
关键词 automotive industry vehicle manufacture auto production passenger cars
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