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.

A profile is automatically generated for an occupant of a vehicle. In one approach, data is collected from an interior of a vehicle to determine whether an occupant is present. If an occupant is present, a local profile is automatically generated. The local profile is sent to a remote computing device. The remote computing device links the local profile to a remote profile stored by the remote computing device. Configuration data is generated by the remote computing device based on linking the local and remote profiles. The configuration data is sent to the vehicle and used by the vehicle to control the operation of one or more components of the vehicle.

An area extraction unit (2) extracts an eye area in an image of a driver. An eyelid detection unit (3) detects an eyelid in the eye area. A reliability calculation unit (4) calculates an eyelid reliability by using luminance information of the eye area and positional information of the eyelid detected by the eyelid detection unit (3). A determination unit (5) determines that the eyelid has not been properly detected, when the eyelid reliability is less than a first threshold value.

Disclosed herein is method and interactive assistance system for providing personalized assistance to a driver or person in an autonomous vehicle. Parameters related to the user and the vehicle are monitored and compared with historical data to determine a deviation in the parameters. An abnormal condition is detected when the deviation is more than an optimal threshold. Further, a personalized interaction is initiated with the user through a selected one of the interactive assistance engine and one or more assistive activities are performed for handling the abnormal condition. In an embodiment, the method of present disclosure enhances both safety and user experience of the user of the autonomous vehicle.

A method for determining a presence of an occupant within a vehicle includes capturing, via a driver facing camera, video image data, including a plurality of image frames of a field-of-view of the driver facing camera. At least one area-of-interest within the image frames is defined, and a foreground pixel count of each image frame of each area-of-interest is determined. At each Nth image frame, an occupancy for each area of interest is determined based at least in part on the foreground pixel count. The occupancy indicates whether the occupant is present or absent in the respective area-of-interest. A history of the occupancy determination for each area-of-interest is maintained, and a final status for each area-of-interest is determined based on the respective history of occupancy. External indicators are initiated based on the final status determination.

A method for determining a presence of an occupant within a vehicle includes capturing, via a driver facing camera, video image data, including a plurality of image frames of a field-of-view of the driver facing camera. At least one area-of-interest within the image frames is defined, and a foreground pixel count of each image frame of each area-of-interest is determined. At each Nth image frame, an occupancy for each area of interest is determined based at least in part on the foreground pixel count. The occupancy indicates whether the occupant is present or absent in the respective area-of-interest. A history of the occupancy determination for each area-of-interest is maintained, and a final status for each area-of-interest is determined based on the respective history of occupancy. External indicators are initiated based on the final status determination.

An autonomous driving control apparatus for a vehicle includes: a processor that determines whether a current driving condition of the vehicle is a limit situation during an autonomous driving control. When the limit situation is determined, the processor demands to transfer a control authority to a user of the vehicle, and if the control authority is not transferred to the user, the processor starts a minimum risk maneuver and controls engagement of an electronic parking brake device when the vehicle is stopped after the minimum risk maneuver ends. The autonomous driving control apparatus further includes a storage configured to store driving condition data of the vehicle and a set of instructions executed by the processor.

There is provided a system for adapting parameters of a vehicle for reduction of likelihood of an adverse event, comprising: hardware processor(s) executing a code for: performing, for each respective driver of multiple drivers: obtaining an indication of a vehicle driven by the respective driver, obtaining an indication of a certain advanced driver assistance system (ADAS) selected from multiple ADAS for installation in the vehicle, obtaining an environmental profile indicative of a prediction of an environment in which the vehicle with installed ADAS is predicted for driving therein at a future time interval, defining a simulation model in which the vehicle with installed ADAS is driving according to the environment profile, computing a risk of an adverse event during the future time interval by executing the simulation model, and selecting parameter(s) of the vehicle for adaptation thereof according to a predicted likelihood of reducing the risk of the adverse event.

An object of the present invention is to provide a vehicle safety assistance system enabling perception of a state of passengers. A vehicle safety assistance system according to the present invention assists safety of at least one passenger on board a vehicle, and includes: a monitoring unit capable of monitoring the passenger in the vehicle; a recognition unit recognizing a state of the passenger by monitoring information from the monitoring unit; and a control unit carrying out control of operation of the vehicle or notification to the passenger on basis of recognition information from the recognition unit, in which the monitoring unit includes a monitoring camera.

Systems of an autonomous vehicle and the operations thereof are provided. Autonomous vehicles may rely on data inputs, processes, and output commands. Errors due to translation errors, failed or faulty equipment, connections, and other components may cause a dynamic vehicle path to approach a dynamic safe zone or vice versa. If so, a warning message may be sent and processed by the motion control system, when the vehicle is responding to commands correctly, or actuator control, when the vehicle is not responding to commands correctly. Should a safe zone be redrawn to exclude the vehicle's path, a failure message is sent to the appropriate system for mitigation.