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 wireless mobile device is used to control an HVAC temperature setpoint in a police vehicle containing a police dog. A wireless signal specifying a commanded temperature setting is checked to prevent malicious adjustments by a hacker. The commanded temperature setting is rejected when it is outside a predetermined range between an absolute minimum and an absolute maximum. When an outside ambient temperature is below a cold-day threshold, then the commanded temperature setting is rejected when it requests a temperature decrease. When the outside ambient temperature is above a hot-day threshold, then the commanded temperature setting is rejected when it requests a temperature increase. Otherwise, when the commanded temperature setting is not rejected as being outside the predetermined range, as being a decrease when below the cold-day threshold, or as being an increase when above the hot-day threshold, then the temperature setpoint is set to match the commanded setting.

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 heat control method for a heat control device, particularly for a vehicle interior, is disclosed. The method involves detecting, delimiting and positioning various parts of the body of an occupant (U), measuring thermal or physiological parameters regarding various parts of the body of the occupant (U) and/or the vehicle interior around the occupant (U), establishing a plurality of thermal comfort indices (I.sub.n), each thermal comfort index (I.sub.n) corresponding to one of the parts of the body of the occupant (U) taking into account a feeling of warmth or of cold in the associated body part, and of which the absolute value is at a minimum in a comfortable situation, and regulating the operation of a heat control device (3) to minimize a sum of the absolute values of the comfort indices (Σ|I.sub.n|) in order to create a regulated thermal environment around the occupant (U).

A vehicle is provided to include a bio-signal sensor that detects a bio-signal of a user, a display device that displays an image and a controller that determines at least one of a positivity of the user or change amount of the positivity of the user based on the detected bio-signal. The controller accumulates a positivity index when at least one of the positivity or change amount of the positivity is equal to or greater than a predetermined positivity or a predetermined change amount of the positivity and transmit a control signal to the display device to display the accumulated positivity index.

A system for indicating occupant presence within a vehicle is disclosed. The system includes a driver's seat that has a plurality of sensors, a passenger's seat that has a plurality of sensors, and an electronic control unit. The electronic control unit is operatively associated with and in communication with the sensors. The electronic control unit initiates an alert in the form of, for example, a car alarm and/or message and is capable of performing other safety actions based upon predetermined conditions being met that are based on information received from the sensors in the driver's seat and the passenger's seat.

The present invention relates to a system (1) for managing the thermal comfort of a person, in particular on board a motor vehicle, this system being designed to use at least one state characteristic of the person and/or of their thermal environment, this characteristic being able to adopt a plurality of values, this system being designed to: acquire, using a sensor, data relating to the person and/or to their thermal environment, this sensor being in particular a camera designed to acquire an image of the person and/or of their thermal environment, evaluate, on the basis of these acquired data, the probability of the state characteristic adopting a first value by associating a first confidence level with this first value.

A drowsiness prediction device includes: a carbon dioxide concentration detector that detects the concentration of carbon dioxide in a compartment; an oxygen saturation detector that detects oxygen saturation in the body of a driver present in the compartment; a predictor that predicts, according to the concentration of carbon dioxide and the oxygen saturation detected, a level of drowsiness that the driver would feel after the detection of the concentration of carbon dioxide and the oxygen saturation; and an outputter that outputs information indicating the predicted level of drowsiness.

This document describes self-sanitizing systems that sanitize the cabins of vehicles. In one aspect, a method includes initiating a sanitizing cycle for sanitizing one or more surfaces of one or more components of a vehicle cabin. During the sanitizing cycle, one or more UV light sources are activated, and at least one of a shape, a position, or orientation of the surface is adjusted with respect to the one or more UV light sources. The sanitizing cycle is terminated.