A computer generates an accident risk definition model to estimate a probability of hazard occurrence as an accident risk by inputting first in-vehicle sensor data collected in the past and hazard occurrence data having information on hazard occurrence from the first in-vehicle sensor data preset therein, generates accident risk estimation data by inputting second in-vehicle sensor data collected in the past to the accident risk definition model and estimating the probability of the hazard occurrence, generates an accident risk prediction model to predict the accident risk after a predetermined time by inputting first biological index data corresponding to the second in-vehicle sensor data and the accident risk estimation data, calculates second biological index data from second biological sensor data by acquiring the second biological sensor data of a driver, and predicts the accident risk after the predetermined time by inputting second biological index data to the accident risk prediction model.

An autonomous vehicle (AV) implements a health protocol that may reduce pathogen transmission between users of the AV. The AV is equipped with a thermal sensor that captures a body temperature of a user. The AV compares the user’s temperature to a threshold temperature, and if the user’s temperature exceeds the threshold temperature, the AV performs checks to ensure that the user’s planned trip follows current regulations or recommendations. For example, the AV confirms that the user is traveling between the user’s home and a healthcare facility. If the trip is permitted, the AV enables the user to enter the AV. The AV may include a disinfectant system for disinfecting the passenger compartment or surfaces after the user exits the AV.

A system for monitoring a fatigue level of an operator of a vehicle includes a sensor configured to generate a signal indicative of a physiological state of the operator; a display for the operator; and a controller to: receive, from the sensor, the signal; determine the fatigue level of the operator by analyzing the received signal using an algorithm developed using operator fatigue statistics; generate a real-time fatigue report for the operator based on the determined fatigue level of the operator; transmit the generated real-time fatigue report to the display for the operator for display to the operator, and a display for a dispatcher for the vehicle for display to the dispatcher; generate an anonymized version of the real-time fatigue report; and transmit the anonymized version of the real-time fatigue report to a cloud for access by remote users.

An adaptive audio therapy system which detects and processes one or more individuals' conditions to provide adaptive, continuous audio therapy in real-time. The adaptive audio therapy system generally includes a detection device that is typically in physical contact with an individual, such as a pacifier or steering wheel. The detection device may include sensors to detect various conditions of the individual, such as heart rate, respiration rate, temperature, and the like. A computing device receives and processes the various conditions detected by the sensors. Based on the detected conditions, the computing device provides audio therapy which is adaptive to the condition of the patient and which is continuously adapted in real-time.

Semi-autonomous vehicle apparatus which is controlled by a plurality of control sources includes a vehicle which may function autonomously and apparatus for control of the vehicle by either an onboard driver or a driver not situated onboard. The vehicle may also be controlled by an off-vehicle computational device. Hierarchy setting apparatus determines which one or combination of the possible control entities take priority. Persons using the apparatus are identified by either a password or, preferably by providing identification based on a biologic feature. Management of impaired vehicle operators is provided for.

A station device in a biometric pre-identification system uses identity to perform one or more actions. Identities are determined (such as via a backend) using biometric information. A biometric pre-identification device obtains biometric information and/or a digital representation thereof from a person approaching the station device. The biometric pre-identification device transmits such to the station device, facilitating the station to begin and/or perform various actions. The station device begins or performs the actions using the identity determined based on the biometric information before the person arrives at the station device.

Various systems and methods are provided for determining a posture of an occupant of a vehicle. In one embodiment, a method comprises capturing images of an occupant in a vehicle via a vehicle camera, determining a current posture of the occupant and a recommended posture for the occupant based on the captured images and body measurements of the occupant, and outputting a guidance based on a difference between the current posture and the recommended posture. In this way, a comfort of the occupant may be increased by guiding the occupant toward a more ergonomic posture.

A method for operating a support system for preventing a motor vehicle from being left stranded due to a lack of drive energy is disclosed. The, wherein the motor vehicle has at least one driver assistance system and an internal combustion engine, which is operated with fuel as a first energy source of drive energy, and/or an electric motor, which is operated with electric energy of a battery as a second source of drive energy. The motor vehicle is autonomously driven to a charging and/or filling location using a vehicle system, which is designed to guide the motor vehicle in a fully automatic manner, when an emergency criterion is met which is constantly evaluated during an operational phase of the motor vehicle, and indicates to the driver that the motor vehicle will be left stranded if a charging and/or filling process is not carried out.

Provided is a vehicle stop support system for supporting vehicle stop in an emergency condition. The vehicle stop support system sets a target time period based on physical abnormality of a driver; sets an allowable lateral acceleration, based on the abnormality; estimates a time period required to reach each of a plurality of stop point candidates; estimates a lateral acceleration to be generated during traveling of a vehicle to each of the candidates; sets a stop point; and controls the vehicle to travel to the stop point and stop at the stop point. The system is operable to set, as the stop point, one of the candidates which satisfies a condition that the lateral acceleration estimated with respect thereto is equal to or less than the allowable lateral acceleration, and the required time period estimated with respect thereto is equal to or less than the target time period.

A driving assistance system and a driving assistance method are provided. The driving assistance system includes a physiological information sensing system, an external physical symptom detection system, and a processing device. The physiological information sensing system is configured to sense physiological information of a driver. The external physical symptom detection system is configured to detect an external physical symptom of the driver. The processing device is coupled to the physiological information sensing system and the external physical symptom detection system. When the physiological information of the driver and the external physical symptom of the driver are abnormal, the processing device initiates an emergency procedure.