In 2020, new infrastructure has become an absolute hot spot for investment, entrepreneurship and society in China. As an indispensable part of the new infrastructure, intelligent transportation promotes each other with 5G base station construction, big data center and artificial intelligence. Road coordination is the foundation of intelligent transportation and smart city, which is closely related to people's life and attracts more people's attention.

Beijing, Shanghai, Guangzhou, Chongqing and other domestic first-and second-tier cities have successively carried out the construction and testing of intelligent transportation and smart cities, including demonstration areas and pilot areas for intelligent connected vehicles. Such as Shanghai Jiading National Intelligent Network Automobile Demonstration Project, Beijing China Telecom Beijing Park Experimental Section, Guangzhou Intelligent Network Test Area, Changsha (National) Intelligent Network Automobile Test Area, etc.

These new infrastructure projects for smart transportation and smart cities are in full swing. Vehicle-road coordination (V2X) is also seen as the foundation in the foundation. It turns roads into smart roads, giving them the ability to interact with smart cars and manage cloud platforms. At this time, various sensors, such as cameras and lidar, are needed to provide environmental information for intelligent transportation and smart cities, just like human eyes.

In recent years, with the rise of autonomous driving, lidar has gradually been well known, especially the autonomous driving test vehicles with lidar running in the streets. The role of lidar, for the L4 level of self-driving vehicles, is now camera and millimeter wave radar can not be replaced.

For vehicle-road coordination (V2X), will the role of lidar be as important as autonomous driving? Can the lidar market extend from smart cars to smart roads, a $2 trillion market. How do lidar companies compete from the smart car market to the smart road market?

In fact, sensors such as cameras and speed radar have already played a role on the road, such as various security cameras, illegal surveillance cameras, and speed radar for traffic supervision. However, for smart transportation and smart cities, only cameras and speed radar are far from enough, because they are not accurate enough to track moving objects such as vehicles.

The function of laser radar is to provide high-precision speed, position, direction, motion state, attitude, shape and other information. A large number of moving objects on the road, including vehicles, pedestrians, bicycles, motorcycles, etc. The above-mentioned information of these road participants is very important for smart transportation and smart cities.

Intelligent transportation needs to provide real-time information of each intersection and each section of road, which requires the installation of equipment including lidar and RSU road test units at each intersection and each section of road. Of course, it is also necessary for each car to have data interaction equipment in the future.

Therefore, sensors such as lidar and roadside units need to be installed at intersections and on both sides of the road to facilitate real-time perception of all traffic participants on the road, and provide road traffic for smart cars participating in vehicle-road collaboration (V2X), traffic management cloud platforms, etc. Information such as the location, speed and attributes of participants., It can also track multiple targets and detect abnormal targets in time, which plays a decisive role in providing overall road safety.

The difference between road coordinated lidar (V2X) and intelligent driving lidar is:

1. Different working hours: Lidar for road testing must work 24 hours a day for self-driving vehicles. It may also be because the car does not have to run and needs rest;

2. The working environment is different: the lidar for road testing must work in any weather environment because it needs to work 24 hours a day. It needs to work all year round, whether it's raining, windy, snowy or dusty. If you drive a car, you may avoid bad weather, just like a person driving a car;

3. Different detection areas: Lidar for road tests requires a wider detection range, while the detection range of autonomous vehicles may be concentrated in the direction of the vehicle. Therefore, the installation method and technical accuracy (that is, the number of lines, the higher the number of lines, the thinner the requirements) are different;

4. Different calibration methods: lidar needs to cooperate with other sensors, so different calibration schemes are required at the vehicle end;

Because the lidar of road test has more stringent requirements, especially 24-hour, all-weather conditions, it puts forward higher requirements for the technical capabilities and solutions of enterprises, which may be higher than the requirements of vehicle regulations, and requires continuous testing and trial operation. In order to provide stable and reliable products.