An impairment analysis (“IA”) computer system for detecting a driver or vehicle impairment to facilitate vehicle collision avoidance is provided. The IA computer system is associated with a host vehicle, and includes at least one processor in communication with at least one memory device. The at least one processor is programmed to: (i) interrogate a target vehicle via the plurality of sensors by scanning at least one of the target vehicle and a target driver of the target vehicle; (ii) receive sensor data including at least one of target driver data and target vehicle condition data; (iii) analyze the sensor data by determining at least one outlier within the sensor data; (iv) detect an impairment of at least one of the target driver and the target vehicle based upon the analysis; and/or (v) direct corrective action based upon the detected impairment.

Systems and methods for connected vehicle and mobile device communications are provided herein. An example method includes determining a distracted condition for at least one of a driver or a pedestrian by evaluating actions occurring within in a vehicle of the driver or on a mobile device of the pedestrian; determining a distraction level for either the driver or the pedestrian based on the actions occurring within in the vehicle or on the mobile device; and providing an alert message to the mobile device or a human machine interface of the vehicle based on the distraction level, the alert message warning of a distracted condition of the pedestrian or the driver.

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.

Systems and methods for connected vehicle and mobile device communications are provided herein. An example method includes determining a distracted condition for at least one of a driver or a pedestrian by evaluating actions occurring within in a vehicle of the driver or on a mobile device of the pedestrian; determining a distraction level for either the driver or the pedestrian based on the actions occurring within in the vehicle or on the mobile device; and providing an alert message to the mobile device or a human machine interface of the vehicle based on the distraction level, the alert message warning of a distracted condition of the pedestrian or the driver.

A vehicle control device includes a peripheral recognition unit configured to recognize a peripheral status of a vehicle including a position of a traffic participant present in a periphery of the vehicle on the basis of an output of an in-vehicle device, an estimation unit configured to estimate a peripheral attention ability of the traffic participant on the basis of an output of the in-vehicle device, and a risk area setting unit configured to set a risk area of the traffic participant on the basis of a result of the estimation performed by the estimation unit.

The present invention relates to methods of predicting risk of collision depending on the behavior of a pedestrian adjacent to a driving vehicle and controlling the vehicle for preventing collision. According to an embodiment of the present invention, a method of controlling a vehicle comprises identifying a pedestrian adjacent to a driving road of the vehicle, determining a first recognition value of the pedestrian for the vehicle based on a behavior feature of the pedestrian, outputting a warning signal based on the first recognition value, determining a second recognition value of the pedestrian after outputting the warning signal, and controlling the vehicle based on the second recognition value.

A method for improving pedestrian safety is provided. The method includes determining operating conditions of a vehicle using a plurality of vehicle sensors. A path of the vehicle is predicted based on the determined operating conditions. Pedestrian parameters for a pedestrian in a vicinity of the vehicle are acquired using the plurality of vehicle sensors. The pedestrian parameters include at least one of a position, a speed of the pedestrian, gait, body posture and a level of distractedness. A determination is made whether a notification of the pedestrian is necessary based on the determined vehicle operating conditions and the acquired pedestrian parameters. A mode of notification of the pedestrian is selected from a plurality of modes of notification, in response to determining that the notification of the pedestrian is necessary. The pedestrian is notified using the selected mode of notification.

A method for optimal notification of a relevant object in a potentially unsafe situation includes training a machine learning model using a plurality of object parameters and a plurality of vehicle state parameters to generate a trained machine learning model. Output data is predicted using the trained machine learning model. The output data represents an optimal mode of notification and a set of notification parameters for a specific state of interaction between the vehicle and the relevant object.

Systems and methods for connected vehicle and mobile device communications are provided herein. An example method includes determining a distracted condition for at least one of a driver or a pedestrian by evaluating actions occurring within in a vehicle of the driver or on a mobile device of the pedestrian; determining a distraction level for either the driver or the pedestrian based on the actions occurring within in the vehicle or on the mobile device; and providing an alert message to the mobile device or a human machine interface of the vehicle based on the distraction level, the alert message warning of a distracted condition of the pedestrian or the driver.

A method for improving pedestrian safety is provided. The method includes determining operating conditions of a vehicle using a plurality of vehicle sensors. A path of the vehicle is predicted based on the determined operating conditions. Pedestrian parameters for a pedestrian in a vicinity of the vehicle are acquired using the plurality of vehicle sensors. The pedestrian parameters include at least one of a position, a speed of the pedestrian, gait, body posture and a level of distractedness. A determination is made whether a notification of the pedestrian is necessary based on the determined vehicle operating conditions and the acquired pedestrian parameters. A mode of notification of the pedestrian is selected from a plurality of modes of notification, in response to determining that the notification of the pedestrian is necessary. The pedestrian is notified using the selected mode of notification.