Vehicle, control method and control system thereof and storage medium

Abstract

The invention discloses a vehicle and a control method and system thereof and a storage medium, and the method comprises the steps: when the vehicle is in a fortification state or a locking state, carrying out the in-vehicle temperature detection and in-vehicle distance measurement through an ultrasonic temperature sensor, and obtaining first in-vehicle temperature and first distance measurement information; judging whether living things exist in the vehicle or not according to the first in-vehicle temperature and the first distance measurement information; if yes, prompt information is sent to a mobile terminal bound with the vehicle, so that remote fortification release or remote unlocking can be carried out on the vehicle. Therefore, by means of the method, in-vehicle living object detection is achieved, the cost can be reduced, and meanwhile the detection result is more reliable.

Description

technical field [0001] The present invention relates to the technical field of vehicles, in particular to a vehicle control method, a computer-readable storage medium, a vehicle control system and a vehicle. Background technique [0002] In recent years, with the popularity of cars, there have been many safety accidents in which children were trapped in cars and suffocated. Moreover, experiments have shown that in a closed environment in the car, the temperature changes rapidly in summer, and children are more likely to be in danger in this environment. In order to solve such problems, many technologies have emerged as the times require. The current methods for detecting objects in cars mainly include the following methods: infrared sensors, camera detection, and millimeter-wave radar detection. However, the above-mentioned methods have their disadvantages in detection methods and applications. For example, camera detection is easily affected by the environment and location...

AI Technical Summary

Problems solved by technology

However, the above-mentioned methods have their disadvantages in detection methods and applications. For example, camera detection is easily affected by the environment and location, and it cannot be effectively detected at night and at positions with tricky object angles; the use of millimeter-wave radar detection is more expensive.

Images