6results about How to "Avoid driving accidents" patented technology

The invention discloses an altitude stress early warning method and device, a vehicle and a storage medium, and the method comprises the steps: obtaining the current altitude, the current in-vehicle oxygen partial pressure and the blood oxygen saturation of people in the vehicle, judging whether the people in the vehicle have altitude stress or not according to the altitude, the in-vehicle oxygen partial pressure and the blood oxygen saturation, and if yes, judging whether the people in the vehicle have altitude stress or not. And the altitude stress early warning prompt information is sent out to warn and remind the user, so that driving accidents caused by the fact that the user does not perceive the altitude stress can be avoided, and the driving safety is improved.

The present application provides a control method, device and automatic driving system for an autonomous driving vehicle, the method comprising: during the driving process of the autonomous driving vehicle, when the autonomous driving vehicle meets predetermined conditions, calibrating the predetermined parameters of the target sensor to obtain the target parameters, wherein the predetermined parameters include at least one of the yaw angle and the pitch angle, and the predetermined conditions include: the rate of change of the yaw angle of the autonomous driving vehicle is less than a first threshold, and the rate of change of the predetermined acceleration is less than a second threshold, and / or the rate of change of the slope of the road where the autonomous driving vehicle is located is less than a third threshold; when the target parameter is within a first predetermined range, correcting the position information of the obstacle measured by the target sensor according to the target parameter; when the target parameter is not within the first predetermined range, reducing the automatic driving level of the autonomous driving vehicle. The present application solves the problem of inaccurate sensor positioning of autonomous driving vehicles as the driving time increases.

This application provides an automotive seat and a vehicle having the same. The automotive seat includes: a headrest assembly; and a monitoring component detachably connected to the headrest assembly. The monitoring component has a working position that engages with the headrest assembly and a detachable position that separates it from the headrest assembly. The monitoring component is used to detect and generate health status data of a target object. By applying this technical solution, the detachable monitoring component and headrest assembly ensure both comfort and monitoring accuracy within the vehicle environment. It also allows the user to carry and use the monitoring component separately after leaving the vehicle. The monitoring component can store monitoring data and synchronize with the user's smart devices in various environments, achieving continuous and comprehensive health data monitoring. This solves the problem of traditional in-vehicle health monitoring devices not being detachable from automotive seat headrests in the prior art.

The invention belongs to the technical field of vehicle driving state monitoring, and relates to a multi-information fusion vehicle driving state monitoring method and system, and the method comprises the following steps: detecting and recording the occupied state of the hands and mouths of a driver based on an image recognition technology; air components in the vehicle are detected and recorded through air detection equipment in the vehicle; the real-time driving state of the vehicle is monitored, the multivariate information is integrated, and the driving state of the vehicle is analyzed according to the driving state analysis model; a driver is warned according to the analysis result, and the vehicle is automatically regulated and controlled based on the response of the driver. The behavior state of the driver and the vehicle driving state can be monitored in real time, potential driving risks can be found in time, driving suggestions are provided for the driver, and the vehicle driving safety is improved.

The invention discloses an AI face recognition-based urban rail automatic bridge safety protection system, relates to the technical field of urban rail automatic bridge safety protection, and solves the technical problem that bridge safety control monitoring cannot be performed through control authority recognition analysis in the prior art. Specifically, a control terminal is in communication connection with a control authority identification unit and a driving control decision unit, and after the control terminal enters an automatic driving state, the control authority identification unit carries out control authority identification during urban rail automatic driving and authorizes completion of control identification; and then acquiring duration fitting degree ratio information and speed floating information through a driving control decision-making unit, analyzing and deducing whether urban rail driving control is normal according to the information, if so, maintaining the current running state, and if not, finishing an automatic driving state or warning manual driving.

The invention relates to the technical field of locomotive lighting, in particular to an intelligent lighting controller for a locomotive headlamp and a control method. The shell is composed of an upper shell body, a lower shell body, a left end cover and a right end cover, the control panel assembly is fixed in the shell body, and an indicating lamp, an SD card slot, a lamp panel temperature / voltage and illuminance data interface, a noise and TVOC data interface, a power supply and light state conversion data interface and an ETH Ethernet communication interface are integrated on the control panel assembly. And a power supply circuit, a main control chip, a clock chip, a data acquisition circuit, a light state switching circuit, a storage circuit, an Ethernet communication circuit and a display circuit are integrated in the control panel assembly. According to the application, full-light and semi-light automatic switching of the headlamp under the scenes of entering and exiting a tunnel and the like is realized through an external illuminance sensor; by collecting the temperature, voltage and internal illuminance data of the lamp panel and combining with the accumulated lighting time, the pre-estimation and early warning of the service life of the headlamp are realized.