Systems and methods described herein relate to estimating risk associated with a vehicular maneuver. One embodiment acquires a geometric representation of an intersection including a lane in which a vehicle is traveling and at least one other lane; discretizes the at least one other lane into a plurality of segments; determines a trajectory along which the vehicle will travel; estimates a probability density function for whether a road agent external to the vehicle is present in the respective segments; estimates a traffic-conflict probability of a traffic conflict in the respective segments conditioned on whether an external road agent is present; estimates a risk associated with the vehicle following the trajectory by integrating a product of the probability density function and the traffic-conflict probability over the at least one other lane and the plurality of segments; and controls operation of the vehicle based, at least in part, on the estimated risk.

A control device that controls a vehicle includes: an input unit to which an image including another vehicle or a driver of another vehicle is input; and a control unit that outputs a signal for controlling the vehicle generated based on danger in the another vehicle determined based on the image.

A context-aware safety device includes a wireless transceiver, a memory storing an application, and one or more processors. When executing the application, the one or more processors are configured to determine a context of a safety device, configure an alert based on the determined context, and broadcast the configured alert using the wireless transceiver.

Systems and methods for distracted driving detection are described. A method includes receiving proximate vehicle data about a proximate vehicle proximate to the host vehicle. The method also includes estimating one or more baselines for a predetermined future time for the proximate vehicle from the proximate vehicle data. The method further includes comparing current kinematic data of the proximate vehicle data for the predetermined future time to the one or more baselines. The method includes generating distraction flags associated with the proximate vehicle based on the comparison. The method also includes controlling one or more vehicle systems of the host vehicle based on the generated distraction flags.

A vehicle control device includes a recognition unit which recognizes surrounding situations of a vehicle, and a driving control unit which automatically controls at least steering of the vehicle based on the surrounding situations recognized by the recognition unit, and the driving control unit increases a distance between the vehicle and a traffic participant in the case where the recognition unit recognizes the traffic participant as an overtaking target and a predetermined structure in a traveling direction of the vehicle, and the vehicle travels on a side opposite to the predetermined structure in a road width direction in a case that viewed from the traffic participant to overtake the traffic participant, as compared to a case where the traffic participant as the overtaking target is recognized by the recognition unit in the traveling direction of the vehicle and the predetermined structure is not recognized.

In an automated driving control device (100), a vehicle control device includes a recognition unit (130) that is configured to recognize a peripheral situation of a vehicle and a driving control unit (120, 160) that is configured to automatically perform control of acceleration/deceleration and steering of the vehicle on the basis of the peripheral situation recognized by the recognition unit, in which the recognition unit determines whether or not a traffic participant present in an advancement direction of the vehicle is aware of the presence of the vehicle, and, in a case in which the traffic participant advancing in the same direction as that of the vehicle is recognized in the advancement direction of the vehicle by the recognition unit, and it is determined by the recognition unit that the traffic participant is not aware of the presence of the vehicle, the driving control unit causes the vehicle to run behind the traffic participant and, in a case in which a period of the running behind the traffic participant becomes equal to or longer than a reference, causes the vehicle to run in a predetermined form.

A vehicle control device including a first recognizer recognizing one or more other vehicles present in the vicinity of a subject vehicle; a second recognizer recognizing that a road on which the subject vehicle is running is a road having no center line; an estimator estimating a state of a driver of an oncoming vehicle facing the subject vehicle among the one or more other vehicles recognized by the first recognizer; a determiner determining whether the oncoming vehicle is a vehicle executing manual driving; and a controller decelerating the subject vehicle to a speed equal to or lower than a predetermined speed on the basis of the state of the driver of the oncoming vehicle in a case in which the oncoming vehicle is a vehicle executing manual driving, and the road on which the subject vehicle is running is a road having no center line.

The accuracy is improved for distracted driving determination performed when the vehicle changes the traveling direction. A distracted driving determination apparatus includes a first obtaining unit that obtains first information indicating a gaze or a face orientation of a driver, a second obtaining unit that obtains second information indicating an operational state of a direction indicator, and a determiner that determines distracted driving by comparing the gaze or the face orientation indicated by the first information with a predetermined criterion indicating a direction or a duration that varies depending on the operational state indicated by the second information.

An impairment analysis (IA) computer system for alerting a first driver of a first vehicle to a driving hazard posed by a second vehicle operated by a second driver is provided. The IA computer system is associated with the first vehicle, and includes at least one processor in communication with at least one memory device. The at least one processor is programmed to: (i) receive second vehicle data including second driver data and second vehicle condition data, where the second vehicle data is collected by a plurality of sensors included on the first vehicle; (ii) analyze the second vehicle data by applying a baseline model to the second vehicle data; (iii) determine that the second vehicle poses a driving hazard to the first vehicle based upon the analysis; and/or (iv) generate an alert signal based upon the determination that the second vehicle poses a driving hazard to the first vehicle.

An impairment analysis (IA) computer system for alerting a first driver of a first vehicle to a driving hazard posed by a second vehicle operated by a second driver is provided. The IA computer system is associated with the first vehicle, and includes at least one processor in communication with at least one memory device. The at least one processor is programmed to: (i) receive second vehicle data including second driver data and second vehicle condition data, where the second vehicle data is collected by a plurality of sensors included on the first vehicle; (ii) analyze the second vehicle data by applying a baseline model to the second vehicle data; (iii) determine that the second vehicle poses a driving hazard to the first vehicle based upon the analysis; and/or (iv) generate an alert signal based upon the determination that the second vehicle poses a driving hazard to the first vehicle.