â—† Unmanned driving is the highest form of smart car development
â—† Internet companies are building a boom, and the vehicle pattern is expected to be broken.
â—† Deep learning algorithms and cloud services accelerate unmanned technology
â—† High-precision maps reduce the dependence of driverless cars on hardware
â—† Communication services improve the car knowledge structure and enrich car life
According to the division standard published by NHTSA in the United States, smart cars can be divided into 4 levels (there is no automatic driving function without L0).
L0 (does not have automatic driving): It does not have auto-driving function at all, and only has ordinary warning function.
L1 (Special Features Autopilot): One or more functions can be automated and each function can work independently.
L2 (combined function automatic driving): The combined functions are automated, and the functions can be coordinated and integrated.
L3 (controlled autopilot): Unmanned driving can be achieved in a limited environment to determine whether to restore the driver's autonomous operating mode.
L4 (completely unmanned): Completely unmanned in any environment.
Complete driverlessness is the most intelligent level of automotive automation. But still in the road test stage, there is still a long time from commercial use.
(2) The current development of unmanned driving has formed two development paths with ADAS and artificial intelligence.
Path 1: Represented by traditional car manufacturers, such as the above automobile group, Changan Automobile.
Through continuous improvement and development of ADAS functions and technologies, we will gradually improve the automation and intelligence of automobiles and continue to develop into completely unmanned driving. ? The fundamental purpose of development is to ease driver driving pressure and improve the driver's driving experience. ? The main engine factory has rich experience in vehicle manufacturing and a complete supporting service system. ? The core technology is the automatic control system of ADAS. In the decision-making process of the car, more people make judgments on the surrounding conditions and take enforcement measures. The machine decision-making only plays a supporting role.
Path 2: represented by Internet companies, such as Baidu, Google, etc.
The tasks of the driverless car are completed by improving the deep learning ability and the self-determination ability of the mobile robot. ? The fundamental purpose of development is to control the car by computer and completely replace manual driving. ? Internet companies have advanced Internet technologies, mature algorithms and cloud service platforms, which can continuously improve the "driving experience" of the machine through artificial intelligence technology, so as to accurately judge the driving conditions and reduce the accident rate caused by human factors interference. ? The core technology is artificial intelligence technology. In the decision-making process of the car, the machine makes decisions and controls the surrounding conditions. The artificial intelligence completely controls all driving decisions of the car.
(3) China's driverless market is still in the exploration period
Analysys Analysys believes that China's driverless cars have been exploring for many years and are still in the exploration period. Following the FAW unmanned car road incident in 2011, all parties involved in the unmanned field began to expand their technology research and development investment, trying to occupy a place in the unmanned market. It is expected that the market will enter the start-up period after 2020.
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