Intelligent Driving Technology: How to ensure the safety of automatic parking

     As a part of intelligent driving, automatic parking technology is widely loved by consumers for its convenience and high efficiency. The traffic in this city is getting more and more congested day by day, and the automatic parking technology can not only make drivers feel comfortable, but also reduce the safety risks of parking. However, in order to ensure the safety of automatic parking, it is necessary to work hard and sum up from several aspects.

     Let's start with sensors and environmental sensing technology. The first line of defense for automatic parking systems is sensor technology. Today's cars are generally equipped with a number of sensors, such as lidar, ultrasonic sensors, and cameras, these devices can know the specific situation around the car at any time. In the lidar technology, it sends a laser out, it calculates the time it takes for the laser to bounce back, it creates an accurate three-dimensional map of the environment, and the car knows what the obstacles are and how far away they are.

     Ultrasonic sensors, mainly close detection, especially when the parking speed is slow, it is easy to use. By putting these different sensors together, the automatic parking system can better see the surrounding obstacles, whether it is other cars, pedestrians, or stationary objects, so that there are fewer collisions.

     And then there's the high-precision positioning technology. This is also a key factor in making automatic parking safe. For the automatic parking system, accurate positioning can not only make the car smoothly to the parking space, but also drive safely in complex environments. GNSS (Global Navigation Satellite System) is an old method of positioning, but in urban areas where there are many tall buildings, the signal is often affected. To combat this, many automatic parking systems use an inertial navigation system (INS), which relies on things like gyroscopes and accelerometers to achieve precise positioning. This combination of several positioning technology, even if the signal is unstable, it can give a stable position information to ensure that the car can park safely.

     And the decision and control algorithms. The safety of automatic parking also depends on a complex algorithm model that analyzes the sensor data at any time and makes the right decision. Take deep learning and machine learning as the basis of intelligent algorithms, through a lot of historical data training, can make the car continue to drive the road and operation methods when parking, so that safety can be improved a lot. For example, if the system sees a car temporarily parked in front of it, blocking the road, the intelligent algorithm can immediately figure out how to best deal with the situation, such as driving in a different direction or adjusting the speed.

     Then there is the loop self-checking function. In order to ensure the safety of each stop, the intelligent parking system generally has a self-checking function. This function not only checks before and during parking, but also summarizes after parking. The system will identify whether the sensor is working properly, whether the positioning is accurate, and whether the control software is faulty. This self-inspection method can reduce the risk of security accidents because of technical failures, and if there is a problem, it can be immediately reported to the police, so that users are more assured.

     User involvement is also important when it comes to automatic parking. The current automatic parking system attaches great importance to the human-computer interaction interface, and it is necessary to ensure that the car can communicate well with the driver when it is automatically parked. For example, the system will tell the user to stop the car through an audible reminder or display, and if necessary, it will ask the user to manually manage it. With clear reminders and warnings, users can have more confidence in automatic parking and fewer accidents caused by users who are not familiar with the system.