Abstract: A safety confirmation support device (equipment system) according to the present disclosure contains hardware of storage unit and CPU processor and several sensing & display devices, and corresponding software including moving object detection unit, risk level detection unit, and output display control unit etc. The moving object detection unit is used to detect an object in a detection area around a vehicle. The risk level detection unit is used to determine, for each detected object, a risk level indicating a level of risk affecting the vehicle. The output display control unit is used to control output display information about the object via the one or more output devices when the risk level of the object is equal to or higher than a predetermined threshold value, and not to display the information about the object when the risk level is below the threshold value.

Abstract: A method includes receiving a request from a requesting vehicle to locate a parking spot having capacity to receive solar power, determining a parking location having the capacity to receive solar power, based on a location of the requesting vehicle, the request, and a parking map that indicates an expected charging rate at each of a plurality of parking locations, and transmitting the determined parking location to the requesting vehicle.

Abstract: Systems and methods are provided for increasing driver awareness of external audible and visual alerts. The external alerts may be detected by external sensors of a vehicle. Systems may use internal sensors to determine whether a driver of the vehicle appears aware of the external alert or whether the external alert is detectable inside the vehicle. If the driver does not appear aware of the external alert, or the external alert is not detectable inside the vehicle, the vehicle may broadcast an internal alert to the driver. The internal alert may be one or more of a visual alert, an audible alert, or a tactile alert.

Abstract: An apparatus, including a server computer, located remote from a premises. The server computer receives a first message, transmitted from a user device located remote from the premises, and generates a second message containing information regarding an individual identified as being present inside or using the premises. If the premises is occupied or in use, the second message contains information identifying the individual. The server computer transmits a control signal or monitoring signal to a computer or processor located at the premises. The computer or processor performs a control operation or a monitoring operation regarding the premises, or the system, equipment, or device, of the premises in response to the control signal or monitoring signal.

Abstract: A smart driver safety system for a vehicle is described. The system includes a drowsy driver detector, an attention diversion monitor, an automatic mirror adjustment subsystem, and a plurality of actuators. The drowsy driver detector determines a head position of the driver and detects an eye position of the driver's eyes. When the driver's eyes are closed, the drowsy driver detector determines a time duration of an eye closure and compares the time duration to a drowsiness threshold. When the eye closure exceeds the drowsiness threshold, the drowsy driver detector generates a drowsiness alert signal. The attention diversion monitor detects an attention diversion based on the eye position and the eye closure and generates an attention diversion alert signal. The automatic mirror adjustment subsystem adjusts a side mirror of the vehicle based on the eye position and the head position.

Abstract: The systems and methods described herein can include a digital assistant application that receives sensor signals from sensors installed in a vehicle and determines an entry event into the vehicle. The digital assistant application can receive, responsive to the entry event into the vehicle, a plurality authentication input signals from a plurality of sensors associated with the vehicle. The digital assistant application can determine a plurality of authentication states based on the plurality of authentication input signals and a plurality of authentication credentials. The digital assistant application can identify an access permission level of a plurality of access permission levels based at least in part on the plurality of identifies authentication states. The digital assistant application can identify, responsive to the access permission level, a subset of a set of functionalities available via the vehicle, and provide vehicular access to the subset of functionalities.

Abstract: A communication control apparatus (10) according to the present disclosure includes a communication unit (11) communicating information to and from a moving body, a violation time predicting unit (12) predicting a violation time at which the moving body violates a constraint condition relating to a relative relationship between the moving body and another object or a constraint condition relating to a relative relationship between the moving body and a path on which the moving body should run by using positional information of the moving body, a deadline calculating unit (13) calculating an execution deadline of an avoidance operation for avoiding a violation of the constraint condition by using the violation time, and a communication control unit (14) increasing a priority level of a communication with the moving body as a time difference between a current time and the execution deadline decreases.

Abstract: A distracted-driving monitoring method, system and an electronic device are provided. The distracted-driving monitoring method includes: acquiring an image of a driver; detecting a target object in the image to obtain a detection result; obtaining a determination result of a driving behavior according to the detection result; and sending an alarm signal when the determination result indicates that a distracted-driving behavior occurs. Through at least some embodiments of the present disclosure, the distracted-driving behavior of the driver can be monitored in real time and alarmed, thus urging the driver to concentrate in driving, to ensure safe driving and avoid traffic accidents.

Abstract: An ear-wearable device includes a photoplethysmography (PPG) sensor. One or more processors of the ear-wearable device are configured to determine, based on sample values of a PPG signal generated by the PPG sensor, whether a user of the ear-wearable device has fallen.

Abstract: An inter-vehicle optical network a plurality of lights, a plurality of optical sensors arranged around the perimeter of the vehicle configured to gather light data regarding a light intensity and gradient of incoming light, a controller communicatively coupled with the plurality of lights and the plurality of optical sensors. The controller configured to receive the light data from the plurality of optical sensors, detect in the light data a second flashing light pattern emitted by an adjacent vehicle with a rhythm, a color, and/or a light intensity, adjust the light level of each light of the plurality of lights based on the light data, adjust the first flashing light pattern in response to the second flashing light pattern, and adjust the first flashing light pattern to synchronize the first flashing light pattern with the second flashing light pattern.

Abstract: The invention relates to a method for preventing fatigue of a driver of a motor vehicle (4), with the steps of: acquiring position data (PDM0) indicative of the position of the driver, and activating and/or deactivating light glasses (10) worn by the driver depending on an evaluation of the acquired position data (PDM) indicative of the position of the driver.

Abstract: The present disclosure relates to a wearable radio device for access control. The radio device has an inside portion and an outside portion. The inside portion includes a first transponder and a second transponder. A first barrier is located between the first transponder and the second transponder. A second barrier is located between the first transponder and the second transponder in an outside portion of the wearable device.

Abstract: A method of operating a vehicle of determining whether the vehicle is operating in a road segment with a low visibility condition to cause a loss of input of sensor data to a vehicle controller that operates an assist feature, activating one or more adaptive alerts based on a road departure risk of the vehicle, and driver use of the assist feature in the upcoming road segment, wherein the road departure risk is determined by calculating a road departure risk index that compares an estimated vehicle path based on the vehicle state data with a probabilistic vehicle path for the upcoming road segment; and predicting whether will operate within an acceptable path in the upcoming road segment; and tracking the vehicle in the upcoming road segment based on vehicle navigation data to provide at least one adaptive alert based on a prediction of the road departure risk.

Abstract: A system for displaying contextually-sensitive braking information on a surface of a vehicle is presented. The system may include a transceiver, one or more memories, an electronic display disposed on the surface, and one or more processors. The one or more processors may be configured to detect a braking event of the vehicle, wherein the braking event has an associated braking force. The one or more processors may compare the braking force to a predetermined threshold braking force to determine whether the braking force exceeds the threshold braking force. The one or more processors may further cause the electronic display to display a braking indication having an intensity that is proportional to the braking force, wherein the braking indication may include a braking rationale corresponding to the braking event in response to determining that the braking force exceeds the threshold braking force.

Abstract: An information presentation apparatus includes an out-of-vehicle risk detection section that is configured to detect an out-of-vehicle risk object, a gaze detection section that is configured to detect a gaze direction of a driver of the vehicle, a recognition determination section that is configured to determine whether the out-of-vehicle risk object is recognized by the driver based on a detection result by the out-of-vehicle risk detection section and a detection result by the gaze detection section, and an information presentation section that is configured to present, to the driver, out-of-vehicle risk information regarding the out-of-vehicle risk object in a presentation mode. The information presentation section is further configured to change the presentation mode depending on whether the out-of-vehicle risk object is recognized by the driver based on a determination result by the recognition determination section.

Abstract: A system and method for determining object-wise situational awareness that includes receiving data associated with a driving scene of a vehicle, an eye gaze of a driver of the vehicle, and alerts that are provided to the driver of the vehicle. The system and method also includes analyzing the data and extracting features associated with dynamic objects located within the driving scene, the eye gaze of the driver of the vehicle, and the alerts provided to the driver of the vehicle. The system and method additionally includes determining a level of situational awareness of the driver with respect to the each of the dynamic objects based on the features. The system and method further includes communicating control signals to electronically control at least one component of the vehicle based on the situational awareness of the driver.

Abstract: Embodiments of the present invention provide a control system for a vehicle, the vehicle (800) being operable in an at least partly autonomous mode and a manual mode, the control system comprising input means (291, 292) for receiving a gaze signal (211) indicative of a direction of a gaze of an occupant of the vehicle (800), and a contact signal (212) indicative of physical contact between the occupant and a control of the vehicle, control means (250, 260, 270, 280, 290) configured to determine an estimate of the occupant's attention to a driving task in the at least partly autonomous mode in dependence on the gaze signal (211) and to determine when the occupant is at least partly obscured relative to the at least one imaging means (150, 220), wherein the control means (250, 260, 270, 280, 290) is configured to determine the estimate of the occupant's attention to the driving task in dependence on the contact signal when it is determined that the occupant is at least partly obscured.

Abstract: The present teachings relate to a device, system, and method for facial recognition and monitoring. The present teachings may relate to a method for recognizing and monitoring one or more users for an occurrence of a health event of the one or more users comprising: a) receiving incoming video data; b) preprocessing the video data; c) extracting facial data to identify one or more users; d) recognizing the presence, probability, and/or absence of the health event; e) generating one or more notifications or not generating based on the presence, probability, and/or absence of the health event; and f) optionally, enabling one or more safety protocols of a vehicle.

Abstract: A distracted driving analysis system for identifying distracted driving events is provided. The system includes a processor in communication with a memory device programmed to: (i) receive driving event records including phone usage by a user that occurred within a time period of a driving event, (ii) divide the driving event records into at least two clusters based at least in part upon common features of one or more driving event records of the plurality of driving event records by processing the driving event records using an unsupervised machine learning algorithm, (iii) generate a trained model based at least in part upon the at least two clusters including cluster labels, (iv) process a new driving event using the trained model, (v) assign the new driving event to one of the at least two clusters using the trained model, and (vi) based at least in part upon the cluster labels for the assigned cluster, determine whether the new driving event is an actual distracted driving event or a passenger event.

Abstract: A method for performing correlation-based parking availability estimation is provided. The method includes retrieving a plurality of parking availability correlation models, wherein each of the parking availability correlation models estimates parking availability for a target parking block based on parking availability for one or more other parking blocks; selecting a subset of the parking availability correlation models, wherein the subset comprises parking availability correlation models that estimate parking availability of the target parking block based on parking availability for one or more other parking blocks for which current parking availability is known; selecting a parking availability correlation model from the subset based on a model quality indicator associated with each parking availability correlation model; and estimating parking availability for the target parking block based on the selected parking availability correlation model.