A vehicle system includes a button programmed to output an alert signal, a communication interface programmed to wirelessly transmit an alert message, and a processor programmed to command the communication interface to transmit the alert message to an emergency service provider in response to the button outputting the alert signal. The alert message identifies a future vehicle stop and a time of arrival at the future vehicle stop.

A safe driving assistance system includes a wearable terminal having a terminal identification information, a first and a second sensor acquiring a biometric information of a driver, a safe driving assistance in-vehicle device having a criteria determination unit. The criteria determination unit determines that a blood glucose level is a predetermined number or less and at least one selected the group consisting of that a heart rate is more than a predetermined number, a skin temperature change is more than a predetermined number and an increase in sweat rate is more than a predetermined number, a safe driving assistance in-vehicle device is connected to a vehicle control unit controlling a vehicle driven by the driver, and an operating state of the vehicle is controlled based on a determination result by the criteria determination unit.

A vehicle light module, a headlight assembly, and a method for communicating information at a panel having transparent and opaque states; a projector device projects visual representations toward the panel where visual representations are displayed on the panel when in an opaque state and through the panel when in a transparent state.

A system and a method automatically generate warnings intended for users of a road on board an automobile. The system includes sensors, an on-board programmable electronic device, and at least one audible or visual warning device. The programmable electronic device includes at least one processor configured to detect traffic elements, and a module for analyzing traffic elements, such that each detected traffic element is associated with a predetermined category and an associated confidence level is calculated. A module determines an at-risk situation from among a number of predetermined risk situations. At least one of the traffic elements is associated with at least one user of the road outside said vehicle. A command module warns the user of the road of the detected risk.

Systems, devices, and methods are disclosed in which one or more light sources, a detector, a processor and a controller are configured such that light from the one or more light sources improves the ability of a human or automated motor vehicle driver to identify and avoid pedestrians. The one or more light sources may provide spot illumination to moving objects or pedestrians on a road surface, with the spot illumination following the moving object or pedestrians along the portion of the road surface. The one or more light sources may project images on the ground or on other surfaces. The light source may be carried by a pedestrian or on personal transport used by a pedestrian. The light sources may be stationary and provide lighting for a pedestrian street crossing.

The present disclosure provides an apparatus for managing a vehicle intrusion, a system having the same, and a method thereof. The apparatus for managing a vehicle intrusion includes a processor that determines presence of an occupant who intrudes into a vehicle and notifies a user of the presence of the occupant who intrudes into the vehicle, and storage that stores a result of detecting the presence of the occupant obtained by the processor. Accordingly, it is possible to detect whether an intruder who intrudes into a vehicle before, after or while a user gets in the vehicle is present and inform the user of the fact, thereby assuring safety of the user and safety of the vehicle.

The present disclosure provides an apparatus for managing a vehicle intrusion, a system having the same, and a method thereof. The apparatus for managing a vehicle intrusion includes a processor that determines presence of an occupant who intrudes into a vehicle and notifies a user of the presence of the occupant who intrudes into the vehicle, and storage that stores a result of detecting the presence of the occupant obtained by the processor. Accordingly, it is possible to detect whether an intruder who intrudes into a vehicle before, after or while a user gets in the vehicle is present and inform the user of the fact, thereby assuring safety of the user and safety of the vehicle.

A vehicle device monitors a physical condition of a driver, executes an awakening operation when detecting abnormal physical condition of the driver, determines whether the abnormal physical condition of the driver is resolved by the awakening operation, executes an emergency autonomous travelling when the abnormal physical condition of the driver being determined to be not resolved, notifies the emergency autonomous travelling toward vehicle surrounding, executes a rescue request in travelling state toward the vehicle surrounding during the emergency autonomous travelling, searches for a facility capable of treating the abnormal physical condition of the driver and sets the facility as a destination, sets another facility as a destination when no facility capable of treating the abnormal physical condition of the driver being specified, and executes a rescue request after arrival toward the vehicle surrounding in response to the vehicle arriving at another facility.

A safety system for a vehicle includes an object tracker circuit configured to receive sensor data representing objects located in an environment in which the vehicle is operating. The vehicle is operated by a navigation system independent of the safety system. A probabilistic model of the environment is generated. Generating of the probabilistic model includes, for each object of the one or more objects, generating a state of the object based on recursive Bayesian filtering of the sensor data. The state includes a spatiotemporal location of the object relative to the vehicle at a particular time and a velocity of the object relative to the vehicle at the particular time. A probability of collision of the vehicle is determined with a particular object at the particular time based on the probabilistic model of the environment. A collision warning is generated indicating the particular object and the particular time.

A safety system for a vehicle includes an object tracker circuit configured to receive sensor data representing objects located in an environment in which the vehicle is operating. The vehicle is operated by a navigation system independent of the safety system. A probabilistic model of the environment is generated. Generating of the probabilistic model includes, for each object of the one or more objects, generating a state of the object based on recursive Bayesian filtering of the sensor data. The state includes a spatiotemporal location of the object relative to the vehicle at a particular time and a velocity of the object relative to the vehicle at the particular time. A probability of collision of the vehicle is determined with a particular object at the particular time based on the probabilistic model of the environment. A collision warning is generated indicating the particular object and the particular time.