Baidu ApolloWorld's world model performs real-time simulation of the global environment, enhancing virtual road test efficiency by three years.
Baidu ApolloWorld's world model uses AI to simulate virtual traffic environments in real-time, enabling autonomous vehicles to complete full Robotaxi trips. One day of virtual testing mileage is equivalent to three years of real-world testing for a real test vehicle. This model has been applied to the global testing of Luobu Kuaipao. Through multi-agent driving technology, it achieves autonomous decision-making and interaction among traffic participants, combined with a new generation of L4 end-to-end model architecture, significantly improving testing efficiency.
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Baidu Apollo World's world model unveiled: Using AI to teach AI to drive
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Baidu ApolloWorld's world model performs real-time simulation of the global environment, enhancing virtual road test efficiency by three years.
Adds:Quantumbit mentions the model achieves a day's virtual test mileage equivalent to three years of real testing.
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Source: QbitAI · qbitai.com