Abstract: A driver assistance system configured to assist in driving vehicles includes a collected data storage and a processor. The processor is configured to calculate a first load state value with a change in driving behavior of a driver of an assistance target vehicle and a second load state value without the change, based on vehicle measurement data and passer-by measurement data, and calculates a total optimization evaluation value based on a difference between the first load state value and the second load state value. The first load state value and the second load state value are load state values indicate a change in load states of drivers of random vehicles and passers-by in a predetermined travel scene while the assistance target vehicle is traveling through the travel scene. The total optimization evaluation value indicates an influence of the driving behavior on the total optimization.

Abstract: A driving assistance device reflects, in autonomous driving control on a vehicle, a driving characteristic of a driver who drives the vehicle learned during manual driving of the vehicle. The driving assistance device includes a storage that stores information on an individual risk potential set for the vehicle by learning a risk sensed by the driver for each of one or more obstacles during the manual driving, a vehicle risk calculator that sets, for the vehicle, a vehicle risk map that reflects the individual risk potential of an occupant of the vehicle during autonomous driving of the vehicle, and a driving condition setter that sets a driving condition for the autonomous driving of the vehicle based on information on the vehicle risk map and information on an obstacle risk map that reflects an obstacle risk potential set for the each of the one or more obstacles.

Abstract: A driving assistance apparatus configured to assist driving of a vehicle by a driver who drives the vehicle: acquires, from at least one environment recognition device provided at a location other than the vehicle, measurement range data of the environment recognition device and measurement result data obtained by the environment recognition device; causes the measurement range data and the measurement result data visually recognizable by the vehicle's driver to be displayed on an image display in a superimposed manner on map data, a real space, or a captured image of the real space; and causes a display of a non-measurement range to be shifted to the display of the non-measurement range as time elapses when the measurement range of the environment recognition device in the real space changes. The display of the non-measurement range is a display of a range deviating from the measurement range and not being measured.

Abstract: A driving assistance apparatus configured to assist driving of a vehicle includes one or more processors and one or more memories. The one or more processors execute a speed change plan setting process of setting one or more speed change plans based on a current position of the vehicle, etc. The speed change plan defines a speed change of the vehicle from the current position to a particular point, and is configured to allow the vehicle to pass the particular point at a speed lower than an upper-limit speed. The one or more processors execute a visualization control process of visualizing a virtual object when the speed of the vehicle is higher than a speed defined by the one or more speed change plans. The visualization control process is configured to allow a driver to recognize a risk of contact between the vehicle and the virtual object.

Abstract: A driver assistance system for assisting in driving a vehicle includes at least one processor and at least one memory communicatably coupled to the processor. Upon providing the vehicle with driver assistance in a predetermined area including installation spots where observation sensors are installed and travel routes are present from a first installation spot to a second installation spot, the processor: carries out information acquisition processing of acquiring frequency information for each combination of the first and second installation spots that indicating frequency at which passing vehicles that have passed the first installation spot pass the second installation spot; and carries out estimation processing of estimating possibility of collision between a vehicle of which a planned travel route in the predetermined area is recognizable, and a random vehicle devoid of a road-to-vehicle communication function to communicate with the observation sensor, based on the acquired frequency information.

Abstract: A driving assistance apparatus is configured to assist in driving a vehicle and includes a combined-blind-area calculator and a driving-condition setter. The combined-blind-area calculator is configured to set potential vehicles in respective vehicle blind areas that are caused by multiple shrouds located around the vehicle and that are blind areas for the vehicle and calculate a combined blind area that is formed by at least two of potential vehicle blind areas that are caused by the multiple shrouds and that are blind areas for the respective potential vehicles. The driving-condition setter is configured to set multiple paths for moving the vehicle to a location outside the combined blind area and set a driving condition of the vehicle, based on any one of the multiple paths.

Abstract: A driver assistance apparatus configured to assist in driving to avoid collision with an object is configured to: detect a shadow of an object present in a blind spot region as viewed from a vehicle, on the basis of image data that captures a surrounding view around the vehicle; estimate a position of a light source that causes the shadow; and calculate a position, a direction of movement, and a speed of movement of the object on the basis of the position of the light source and a time change in the shadow, and determines possibility of collision between the vehicle and the object.

Abstract: A driver assistance system that assists driving of a vehicle acquires first behavior data that is behavior data of the first mobile body detected by a predetermined environment recognition device provided separately from the first mobile body different from the vehicle, acquires second behavior data that is behavior data of a second mobile body present on a route on which the first mobile body is scheduled to travel and including a communication means for sending own behavior data to the vehicle to assist, and predicts, when the first mobile body is no longer detected by the environment recognition device after first time when the first mobile body is, the collision between the first mobile body and the vehicle to assist, based on the first behavior data of the first mobile body acquired before the first time, and the second behavior data acquired from the communication means of the second mobile body.

Abstract: A data collection apparatus includes a processor and a storage. The processor is configured to: estimate an emotion of a person watching an own vehicle on the basis of an image data of a surrounding environment of the own vehicle; generate emotion data including an estimate of the emotion of the person watching the own vehicle; specify a state of the own vehicle viewed by the person watching the own vehicle; and correlate the emotion data with the specified state of the own vehicle. The storage is configured to be caused by the processor to store the emotion data correlated with the specified state of the own vehicle.

Abstract: A vehicle controller includes a processor that switches, when detecting a physical abnormality of an occupant of an own vehicle based on physical information of the occupant, the own vehicle to an emergency mode in which the own vehicle automatically travels to a destination. The processor receives, when the own vehicle is switched to the emergency mode, other vehicle information from another vehicle switched to the emergency mode. The other vehicle information includes information on a physical abnormality of an occupant of the other vehicle. Based on the other vehicle information and own vehicle information including information on the physical abnormality of the occupant of the own vehicle, the processor sets the order of priority to determine which of the own vehicle or the other vehicle is allowed to travel preferentially, and sends, based on the order of priority, a medical aid request to an information processor.

Abstract: A driving assistance apparatus includes a first emotion estimating unit, a second emotion estimating unit, a storage, and a notification controller. The first emotion estimating unit is configured to estimate an emotion of a driver of a vehicle. The second emotion estimating unit is configured to estimate an emotion of a traffic participant around the vehicle. The storage is configured to store data on a first location where the driver of the vehicle has felt no danger and the traffic participant has felt danger from the vehicle. The notification controller is configured to notify the driver of the stored data on the first location.

Abstract: An automated driving assistance apparatus includes an occupant's emotion learning section and a control parameter setting section. The occupant's emotion learning section creates an occupant's emotion model based on vehicle driving state information and occupant's emotion information. The occupant's emotion model is used to estimate an emotion of the occupant from a vehicle driving state. The control parameter setting section calculates an ideal driving state based on the occupant's emotion model, and set a control parameter for automated driving of the vehicle based on the ideal driving state. The control parameter setting section output input values relevant to the vehicle driving state to the occupant's emotion model, and select, from the input values received by the occupant's emotion model, an input value that causes a current occupant's emotion to become closer to a target emotion as the ideal driving state of the vehicle.

Abstract: A drive assist apparatus includes a processor and a storage. The processor includes a line-of-sight detector, an emotion estimator, and a notification processing unit. The line-of-sight detector detects information on a line of sight of one or both of a vehicle occupant present in a vehicle and a traffic participant present around the vehicle. The emotion estimator estimates an emotion of the one or both of the vehicle occupant and the traffic participant. The storage stores, when the estimated emotion is detected as a positive emotion, data on a viewpoint including information on a position of the vehicle on map data and information on the line of sight. The notification processing unit makes, on the basis of the data on the viewpoint stored in the storage, a notification of information on a direction to notice to the vehicle occupant present in the vehicle traveling through a location corresponding to the viewpoint.

Abstract: A driving assistance apparatus is configured to assist in driving a vehicle and includes a combined-blind-area calculator and a driving-condition setter. The combined-blind-area calculator is configured to set potential vehicles in respective vehicle blind areas that are caused by multiple shrouds located around the vehicle and that are blind areas for the vehicle and calculate a combined blind area that is formed by at least two of potential vehicle blind areas that are caused by the multiple shrouds and that are blind areas for the respective potential vehicles. The driving-condition setter is configured to set multiple paths for moving the vehicle to a location outside the combined blind area and set a driving condition of the vehicle, based on any one of the multiple paths.

Abstract: A driving assistance device reflects, in autonomous driving control on a vehicle, a driving characteristic of a driver who drives the vehicle learned during manual driving of the vehicle. The driving assistance device includes a storage that stores information on an individual risk potential set for the vehicle by learning a risk sensed by the driver for each of one or more obstacles during the manual driving, a vehicle risk calculator that sets, for the vehicle, a vehicle risk map that reflects the individual risk potential of an occupant of the vehicle during autonomous driving of the vehicle, and a driving condition setter that sets a driving condition for the autonomous driving of the vehicle based on information on the vehicle risk map and information on an obstacle risk map that reflects an obstacle risk potential set for the each of the one or more obstacles.

Abstract: A vehicle control apparatus includes an interaction determination unit, an occupant emotion acquisition unit, and a vehicle controller. The interaction determination unit is configured to determine a second vehicle that interacts with a first vehicle during automated driving. The occupant emotion acquisition unit is configured to acquire an emotion of an occupant of the first vehicle. The vehicle controller is configured to perform vehicle control of the first vehicle, on the basis of the emotion of the occupant of the first vehicle and an emotion of an occupant of the second vehicle that has been determined to interact with the first vehicle by the interaction determination unit.

Abstract: A drive assist apparatus includes a processor and a storage. The processor includes a line-of-sight detector, an emotion estimator, and a notification processing unit. The line-of-sight detector detects information on a line of sight of one or both of a vehicle occupant present in a vehicle and a traffic participant present around the vehicle. The emotion estimator estimates an emotion of the one or both of the vehicle occupant and the traffic participant. The storage stores, when the estimated emotion is detected as a positive emotion, data on a viewpoint including information on a position of the vehicle on map data and information on the line of sight. The notification processing unit makes, on the basis of the data on the viewpoint stored in the storage, a notification of information on a direction to notice to the vehicle occupant present in the vehicle traveling through a location corresponding to the viewpoint.

Abstract: A driving assistance apparatus includes a first emotion estimating unit, a second emotion estimating unit, a storage, and a notification controller. The first emotion estimating unit is configured to estimate an emotion of a driver of a vehicle. The second emotion estimating unit is configured to estimate an emotion of a traffic participant around the vehicle. The storage is configured to store data on a first location where the driver of the vehicle has felt no danger and the traffic participant has felt danger from the vehicle. The notification controller is configured to notify the driver of the stored data on the first location.

Abstract: A data collection apparatus includes a processor and a storage. The processor is configured to: estimate an emotion of a person watching an own vehicle on the basis of an image data of a surrounding environment of the own vehicle; generate emotion data including an estimate of the emotion of the person watching the own vehicle; specify a state of the own vehicle viewed by the person watching the own vehicle; and correlate the emotion data with the specified state of the own vehicle. The storage is configured to be caused by the processor to store the emotion data correlated with the specified state of the own vehicle.

Abstract: A vehicle controller includes a processor that switches, when detecting a physical abnormality of an occupant of an own vehicle based on physical information of the occupant, the own vehicle to an emergency mode in which the own vehicle automatically travels to a destination. The processor receives, when the own vehicle is switched to the emergency mode, other vehicle information from another vehicle switched to the emergency mode. The other vehicle information includes information on a physical abnormality of an occupant of the other vehicle. Based on the other vehicle information and own vehicle information including information on the physical abnormality of the occupant of the own vehicle, the processor sets the order of priority to determine which of the own vehicle or the other vehicle is allowed to travel preferentially, and sends, based on the order of priority, a medical aid request to an information processor.