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.

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 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 driving advice apparatus includes: an operation determiner; and an advice generator. The operation determiner uses a difference between an emotion of a driver and an emotion of a passenger to determine a specific driving operation of the driver. The advice generator generates an advice for the driver about the specific driving operation on a basis of a difference between a driving feature of the driver and a driving feature of the passenger.

Abstract: A driving advice apparatus includes: an operation determiner; and an advice generator. The operation determiner uses a difference between an emotion of a driver and an emotion of a passenger to determine a specific driving operation of the driver. The advice generator generates an advice for the driver about the specific driving operation on a basis of a difference between a driving feature of the driver and a driving feature of the passenger.

Abstract: The present invention provides multi-layer capsules and manufacture methods thereof. Different materials are added in sequence into a capsule to form a multi-layer capsule without diffusion and/or interaction between layers.

Abstract: The present invention provides multi-layer capsules and manufacture methods thereof Different materials are added in sequence into a capsule to form a multi-layer capsule without diffusion and/or interaction between layers.

Abstract: There is provided a device for transmitting optical data installed in an automated guided vehicle and a plurality of manufacturing machines which are arranged on a manufacturing line so as to transmit data necessary for delivery of a transfer object by two-way communication within a transportation system. The transportation system has an interlocking mechanism for suspending an operation when a trouble occurs and transports the transfer object to the plurality of manufacturing machines by the automated guided vehicle. The device includes a non-volatile memory for recording and holding a communication log, and communication log recording means for writing a communication log in said non-volatile memory and outputting recorded contents of the communication log to an external device when there is an inquiry from the external device.

Abstract: A fluorescent analyzer including a light source which irradiates a sample with direct light, a first wave selector for passing a predetermined wavelength of light emitted from the light source, a sample cell for holding the sample which is irradiated by light passed by the first wave selector, a second wave selector arranged sidewards of the sample outside a direct path of light from the light source passing straight through the sample for passing light of a second predetermined wavelength emitted from the sample upon irradiation by direct light from the light source, a first light detector for producing a first output signal indicative of the amount of light of the second predetermined wavelength passed by the second wave selector, a second light detector for producing a second output signal indicative of the amount of direct light of the first predetermined wavelength passing straight through the sample, a correction circuit for performing a predetermined correction on the amplitude of the first output sign