An air pollution reacting system in a vehicle comprises at least one air pollution measuring device installed in a vehicle and configured to measure an air pollution level of ambient air; and an air pollution reacting device configured to take at least one action in response to an air pollution level determined by the air pollution measuring device.

The present invention relates to a vehicle air conditioner device, comprising: an air purifying unit for regulating air quality inside the vehicle; an inside air quality acquiring unit for acquiring air quality inside the vehicle; an outside air quality acquiring unit for acquiring air quality outside the vehicle; and a display unit for displaying information related to the acquired air quality inside the vehicle and information related to the acquired air quality outside the vehicle.

A vehicle occupant safety system involves multiple sensors within a vehicle, a monitor aggregator, a processor, a vehicle electronic control system, and a decision engine which will compare sensor data against a set of sensor parameters to determine whether any of multiple potential danger conditions exists within the vehicle, and determine which of multiple control actions are to be automatically taken and modify operation of at least one vehicle component. If a further determination is made that either the specified danger condition is persisting or has exceeded at least one specified severity threshold, the decision engine will determine whether to further modify operation of any vehicle component or take a specified escalation action. The decision engine will continue to make determinations regarding the specified danger condition and decide whether to take further control actions until the specified danger condition no longer exists.

The disclosure generally pertains to systems and methods for using vehicles to detect and remediate air pollution. In an example implementation, a server computer transmits a directive to a vehicle controller of a vehicle, to measure an air pollution level around the vehicle at a first location. The vehicle controller executes an air pollution measurement and transmits measurement data to the server computer. The server computer evaluates the measurement data and directs the vehicle controller to perform a remedial action for reducing the air pollution level at the first location. The remedial action can involve, for example, the vehicle controller moving the vehicle from the first location to a second location. The server computer may also determine whether the first location is a transient pollution location or a persistent pollution by directing the vehicle controller to carry out measurements at two different times and/or by employing two different sampling rates.

A computer-implemented process for controlling a vehicle interior includes detecting a previously defined situation that relates to an undesirable environmental condition of the vehicle interior, and assessing both a risk level and an urgency level, based on a vehicle sensor input. The process also includes generating a vehicle command based upon the detected previously defined situation, the assessed risk level, and assessed urgency level, and executing the generated vehicle command to control at least one of an engine, a window, and a heating, ventilation and air conditioning (HVAC) unit to modify an environmental condition of the vehicle interior.

A vehicle control method is disclosed. A vehicle control method according to an embodiment of the present disclosure can determine a drowsy state of a driver through AI processing of state information of the driver acquired from a sensor included in a vehicle. A processor can control a carbon dioxide concentration, a carbon monoxide concentration, a fine dust concentration and cooling efficiency inside the vehicle by causing the outside air to enter the vehicle or circulating the air inside the vehicle upon determining that the driver is in a drowsy state. The processor outputs a second warning and controls driving of the vehicle according to the second warning upon determining that the driver is continuously in the drowsy state. Accordingly, occurrence of accidents due to drowsiness of the driver can be reduced. One or more of an (autonomous vehicle, a user terminal and a server) of the present disclosure can be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.

A vehicle control method is disclosed. A vehicle control method according to an embodiment of the present disclosure can determine a drowsy state of a driver through AI processing of state information of the driver acquired from a sensor included in a vehicle. A processor can control a carbon dioxide concentration, a carbon monoxide concentration, a fine dust concentration and cooling efficiency inside the vehicle by causing the outside air to enter the vehicle or circulating the air inside the vehicle upon determining that the driver is in a drowsy state. The processor outputs a second warning and controls driving of the vehicle according to the second warning upon determining that the driver is continuously in the drowsy state. Accordingly, occurrence of accidents due to drowsiness of the driver can be reduced. One or more of an (autonomous vehicle, a user terminal and a server) of the present disclosure can be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.

Technologies are provided for preventing a working fluid leak from pooling and thus diluting any leaked working fluid from air within a condenser and/or evaporator compartment of the CCU. This can include a computer-readable medium that stores executable instructions that, upon execution, prevent a working fluid leak from pooling within a climate-control unit (CCU) of a transport climate control system. This also includes detecting fulfillment of activation threshold conditions in connection with the CCU. Also, this includes activating a fan in at least one of a condenser unit and an evaporator unit included in the CCU to dilute leaked working fluid from air within the CCU. Further, this includes detecting fulfillment of de-activation threshold conditions and de-activation of an activated fan.

A cabin air state sensing system for a vehicle may include a divergence structure facilitating measurement of cabin air temperature and dust concentration in a cabin through suction of air using an air suction device and an operation method thereof.

An apparatus includes a capture device and a processor. The capture device may be configured to generate pixel data corresponding to an exterior view from a vehicle. The processor may be configured to generate video frames from the pixel data, perform computer vision operations on the video frames to detect objects in the video frames and determine characteristics of the objects, analyze the characteristics with respect to the vehicle to determine visual indicators to predict an air quality and generate a control signal in response to an air quality value. The control signal may be configured to toggle an activation of an air recirculation feature of the vehicle when the air quality value reaches a threshold value. The visual indicators may be used to adjust the air quality value.