What is the definition of ICV road detection technology?

The real road is converted into a road recognized by the car through lidar, which is used by self-driving cars to drive; Or through the vision sensor to identify the lane marking, provide the position of the vehicle in the current lane, and help the intelligent networked vehicle improve the safety of driving.

Typical applications of image recognition in ICVs are as follows:

1. Vehicle identification. Using image recognition technology, vehicles driving on the road can be automatically recognized. This can be used for road condition monitoring, traffic flow statistics, etc., to provide data support for urban traffic management.

2. Tell pedestrians to identify. Image recognition technology can also be used for pedestrian recognition to provide better pedestrian protection measures and improve driving safety when the vehicle is driving.

3. The vehicle follows. Image recognition technology can be used to enable vehicle following, such as autonomous driving and automated parking.

4. Road sign recognition. By taking pictures of road signs, the vehicle can automatically identify the content of the sign to help the driver standardize driving behavior.

5. Lane recognition. Lane recognition technology can help vehicles automatically identify lane markings on the road surface to reduce friction and collision risks.

6. Obstacle recognition ahead. Using image recognition technology, obstacles in front can be automatically recognized. By timely warning and reminding drivers, the probability of accidents can be effectively reduced.

7. Automatic braking. Using image recognition technology, the vehicle can automatically recognize the vehicle or pedestrian in front and automatically brake to ensure driving safety.

8. License plate recognition. License plate recognition technology can realize the control and management of parking lots and illegal parking on the roadside, and improve the efficiency of traffic management.

9. Reversing image. Image recognition technology can be used for reversing images to provide a better driving experience.

10. Fatigue pure parallel stop driving detection. Using image recognition technology, it is possible to detect the driver's fatigue and prompt the driver to take a break or adjust the driving behavior.

11. Detection of the number of people in the car. Through image recognition technology, the number of people in the vehicle can be detected for related management and safety control.

12. Anti-theft system. Image recognition technology can be applied to the vehicle's anti-theft system to automatically identify illegal entrants and improve security.

13. Vehicle status detection. Image recognition technology can detect and monitor the status of the vehicle, and improve the efficiency of Hugao vehicle repair and maintenance.

14. Vehicle remote control. Using image recognition technology, the vehicle can be remotely controlled to achieve functions such as autonomous driving and automatic parking.

15. Vehicle vending machines. Image recognition technology can be used to establish vehicle vending machines to realize intelligent sales and transactions of vehicles.

The United States decided to adopt "Intelligent Vehicle Highway System" technology to modernize road transportation and transportation. To this end, the private and public sectors in the United States have established the "Intelligent Vehicle Highway Association" in Washington. The association's long-term goals include installing smart sensors on highways across the country to reduce the number of times vehicles are forced to stop.

The goal of the smart sensors is to eliminate vehicle toll booths, which automatically deduct fees from the driver's bank account when the car crosses an unseen border. Smart sensors can also weigh trucks in operation and enable computerized cargo inspections.

Los Angeles' "Smart Vehicle Highway System" plans to install smart sensors at 4,000 intersections across the city to minimize "wasted green light time" and avoid a situation where one street is green and no vehicles pass, and another street is subject to long queues due to red lights. Over the next 20 years, the United States will spend $200 billion to build such smart traffic light systems. In Orlando, Florida, General Motors conducted a self-navigation test on 100 cars, and the results showed that they could get to hotels and attractions scattered throughout Orlando's Disneyland without taking the wrong road, which was very popular with foreign tourists and their entourage who could drive.

Chicago's "Intelligent Vehicle Highway System" program plans to install computerized navigation systems in about 5,000 cars that will not only be used to get directions but also avoid traffic jams. Because the car navigation equipment should have good road conditions. Therefore, it is not suitable for the current complex road conditions in the city.

It has been more than a century since the invention of the automobile to the present day. In modern society, the car has become.

It is an indispensable means of transportation for people's work and life.

While automobiles benefit people, they also bring a series of problems such as air pollution, noise and traffic safety. From the 60s.

With the development of the national economy, there are various fields of science and technology.

With the rapid development, automobile testing and diagnostic technology has also been developed rapidly, coupled with China.

The automobile manufacturing industry and the road transportation industry are developing rapidly, and the technology and design of automobile detection and diagnosis are carried out.

The demand for equipment is also increasing day by day.

The number of motor vehicles in China has increased rapidly, followed by traffic.

social issues such as safety and environmental protection. How to ensure that the vehicle is fast, economical, flexible, and as far as possible does not cause social pollution, has gradually been mentioned to the relevant departments of the day.

With the progress of science and technology, automotive testing equipment has become more intelligent

Automation, precision,

There are new developments in integration, and new technologies are applied to open up new testing fields and develop new ones.

Testing equipment. With the development of electronic computer technology, there has been the emergence of automobile detection and diagnosis, control automation,

Data collection automation

Modern synthesis of functions such as direct printing of inspection results.

Able to detect technology and equipment.