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challenges and opportunities of traditional fuel vehicles
traditional fuel vehicles are still the leaders in the global automobile market with their mature technology and broad user base. however, in recent years, the rapid development of new energy vehicles and the development of intelligent technology have broken the "dominance" of fuel vehicles. electric vehicles have been widely recognized by consumers for their high efficiency and energy saving as well as the safety and convenience brought by autonomous driving technology.
end-to-end architecture: a breakthrough in intelligent driving
with the continuous development of artificial intelligence technology, end-to-end architecture has become a breakthrough point for intelligent driving. this architecture integrates sensors, controllers, and software to achieve true intelligent driving. compared with traditional program-based control, end-to-end architecture can dynamically adjust and make decisions based on actual road conditions to improve driving efficiency. tesla's fsd is a representative example of end-to-end architecture, and its powerful autonomous driving capabilities have changed people's perception of autonomous driving.
opportunities and challenges for fuel vehicle companies
traditional fuel vehicle companies face challenges on the road to intelligence, but they still have great potential for development. first, fuel vehicle companies can improve existing technologies and enhance their intelligence level by collecting a large amount of driving data and training large ai models. second, fuel vehicle companies need to actively explore new market models, such as providing customized intelligent services and expanding the market share of new energy vehicles.
conclusion
traditional fuel vehicles face challenges in the era of intelligence, but they still have huge development potential. by integrating technological innovation and combining market demand, fuel vehicle companies can seize opportunities and achieve greater success in the era of intelligence.
