“Unmanned driving, as a future development trend, naturally attracts attention. For unmanned driving, the editor has explained the technical principles of unmanned driving, the advantages and disadvantages of unmanned driving in previous articles. In order to improve everyone’s understanding of unmanned driving, this article will introduce the relationship between 5G and unmanned driving, as well as the impact of unmanned driving on communication.
Unmanned driving, as a future development trend, naturally attracts attention. For unmanned driving, the editor has explained the technical principles of unmanned driving, the advantages and disadvantages of unmanned driving in previous articles. In order to improve everyone’s understanding of unmanned driving, this article will introduce the relationship between 5G and unmanned driving, as well as the impact of unmanned driving on communication.
1. 5G and driverless driving
At present, in front of driverless cars, in addition to cost, there is also the environment.
The real fully unmanned driving is not the own action of a single vehicle, but requires the maturity of the ecological environment including intelligent transportation, communication network, legal rules, etc.
“If you open the trunks of Google cars and Baidu cars, you will find that they are full of computers.” The ideal driverless car for Internet companies should use cloud computing, big data, maps and other tools to continuously deepen the massive data. Learning, so that the car has artificial intelligence, that is, like AlphaGo playing Go, it automatically has self-judgment for driving movements. However, Zhu Xichan believes that this model has a fatal obstacle: “The existing mobile network delay of data exchange is too long, and the delay of 4G network is measured in seconds. Even if it reaches 4.5G, the delay can only be shortened to 100 milliseconds. , maybe your data has not had time to be transmitted to the cloud for calculation and judgment, the opposite car has already approached, and in a traffic accident, life and death may be decided in 1 second.” Therefore, the driverless cars currently under test are basically All are on-board computers for local computing.
The network that enables vehicles to communicate with vehicles, vehicles and people, vehicles and vehicles, and vehicles and roads is called V2X in the industry. It is mainly realized through two communication technologies: DSRC (Dedicated Short Range Communication Technology) and cellular data network ( That is, mobile communication network). DSRC is a non-contact sensor connection technology. Each car equipped with DSRC will automatically “talk” with each other, and exchange various data within a distance of tens of meters. The “brain” makes corresponding judgments based on these data.
For example, the first car accident of Google’s driverless car not long ago was when it collided with a bus while reversing at an intersection. If DSRC modules are installed on both cars, then Google Cars can get the bus in time. The vehicle dynamic data and draw the conclusion that it has not decelerated, so as to avoid ahead.
According to the plan of the US government, before 2030, the DSRC module will be installed in more than 90% of the cars as a mandatory standard. “The current module price is high, about 350 US dollars (about 2281 yuan) / car, and it is expected to be the lowest in the future. It can be reduced to 50 US dollars (about 325 yuan).” But Zhu Xichan is not optimistic about the DSRC market in China, because it occupies a high frequency band of 5.8G, the signal penetration is very weak, “Even the street trees on both sides of the road can be shielded. Losing the signal, so it is difficult to popularize in the country.”
2. In the driverless scenario, the impact on communication requirements
1. Formation of the third largest communication scenario
When people’s willingness to travel increases, long-distance travel increases, and people spend more time in the car. The in-vehicle communication scene will become the third largest communication scene after home and work.
The in-vehicle communication scene is between home and work communication scenes. As a transition scene, it will integrate more personalized needs of the two major communication scenes of home and work. For example, higher-quality audio-visual enjoyment, deeper mobile VR experience, etc.
2. AI and cloud will be deeply integrated into personal life
AI helps to better manage time. In order to better grasp the time, AI will not only need to control driverless vehicles, but also need to be embedded in the lives of individuals. AI will be integrated into all aspects of personal life, and AI will have a profound impact on personal communication habits. AI can more effectively arrange the communication needs of different scenarios, such as calling a car at the right time, turning on or off home appliances at the right time, and turning on or off entertainment or work applications at the right time. AI arranges time more efficiently and provides guarantee for point-to-point punctual journeys.
Cloud space expands real space. In order to realize the switching of different scenes in the space, the personal cloud will effectively realize the organic integration of the three scenes of home, work and in-car. In-vehicle communication requirements are not completed, and seamless switching is achieved in other scenarios, or seamless switching in in-vehicle communication scenarios is achieved when communication requirements in other scenarios are not completed. For example, if you haven’t finished watching the video in the car, you can continue to watch it when you get home, or you can continue to complete the work in the car if you haven’t finished work in the company. Personal data is transferred to the cloud to better expand the real space of individuals.
3. A new interactive form
Unmanned driving will not only change traffic, but will also bring more possibilities to transportation as a mobile platform. The internal functions of unmanned vehicles will undergo subversive changes, and there are more possibilities for changes, which may integrate AR, VR, MR and other cutting-edge technologies to bring about a new interactive form.
A new form of interaction, changing the way people interact with things, and at the same time changing the way people interact with people. Changes in the interaction between people and things include changes in the interaction between passengers, passers-by and vehicles, and changes in the interaction between passengers and things outside the vehicle. Changes in human-to-human interaction include changes in how passengers interact with passers-by, how passengers interact with passengers, and how passengers interact with others.