Driving automation is graded on 6 levels based on the level of driver involvement in the driving process
Autonomous driving: Relying on computer and artificial intelligence technology, the vehicle can continuously perform some or all of the dynamic driving tasks in an automatic manner. L1-L2 autonomous driving: The vehicle assists driving and takes over some vehicle control tasks; in the determination of responsibility, the driver is the responsible subject. L3-L5 autonomous driving: The vehicle drives automatically and performs continuous driving tasks after activation; in the determination of responsibility, the provider of the autonomous driving solution will be one of the responsible subjects. In the current global passenger car field, autonomous driving is in the transition stage from L2-level autonomous driving to L3-level autonomous driving.
China’s autonomous driving technology has developed rapidly and is in a leading position in the world
China’s autonomous driving is a little slow to start, but the technology has kept pace with the world’s first-class manufacturers in terms of technology. At present, the top solution players are basically covered by companies from China and the United States. The technology has gradually matured, and L2 and L2+ autonomous driving technologies have achieved large-scale mass production and are in the heavy-volume stage; and L4-level and above autonomous driving has also been tested on the road in various regions of China and the United States, and is in the stage of continuously accumulating road test data. .
L2/L2+ autonomous driving technology is mature; L3 and above are difficult to break through, and closed scenarios are appropriate entry windows
The mass implementation and commercialization of autonomous driving technology depends on the actual replacement of human drivers by computers. The more standard the operation process, the easier it will be for the large-scale implementation of autonomous driving technology; thanks to the cost-effectiveness of scale, the application of mining areas, ports and other scenarios will soon be commercialized. General scenarios such as Robotaxi and Robotruck with more complex scenarios require more complete autonomous driving technology to control risks; at the same time, the imperfection of policies, regulations and responsibility delineation mechanisms make it difficult for general-purpose autonomous driving technologies above L3 to be implemented in a short period of time. To achieve mass commercialization, but the trend of autonomous driving eventually replacing human drivers is irreversible.
Autonomous driving technology has gradually achieved different degrees of commercialization in various application scenarios
Technology implementation focuses on usage scenarios. The implementation of autonomous driving in different scenarios is very different, which is highly related to the complexity of the scenarios, the maturity of technology, and the degree of perfection of relevant regulations. The logistics and distribution are relatively mature, the commercialization of mines and ports has also started, and commercial orders for minibuses and cleaning scenarios in the park have also begun to land. Large-scale commercialization has a long way to go.
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