Abstract: A signal recognition instruction receiving unit receives an instruction to recognize signal information in a traffic signal from an automatic driving control device. A signal information recognizer executes recognition processing for the signal information on an image from a sensor and information from a wireless device when the signal recognition instruction receiving unit receives the instruction. An image output unit outputs, to a notification device, start information indicating that the signal information recognizer starts the recognition processing for the signal information.

Abstract: An information processing system capable of estimating a driving conduct suited to a driver includes: a history obtainer that obtains a personal driving environment history of each of a plurality of drivers, each of the personal driving environment histories indicating one or more vehicle behaviors selected by the driver, and a driving environment associated with each of the one or more behaviors, the driving environment being a driving environment of the vehicle at a point in time of selection of the behavior it is associated with; and a modeler that models, from a driving environment history including the personal driving environment histories of the plurality of drivers, the personal driving environment history of at least one of the plurality of drivers, to build a driver model indicating a relationship between a behavior and a driving environment for the vehicle of the at least one of the plurality of drivers.

Abstract: A driving support device as an example of a data processor executes processing for estimating a driving behavior of a vehicle by using a driving behavior model trained based on detection results by a sensor. A detected-information input unit acquires detected information including the detection results. From the detection results included in the detected information input to the detected-information input unit, a selection unit selects a detection result that falls within predetermined selection range narrower than a range detectable by the sensor. A processing unit executes the processing, based on the detection result selected by the selection unit.

Abstract: A driver performs switching to a manual driving mode in a state that the driver is suitable for a driving operation. In a vehicle that is driven by a plurality of driving modes including a self-driving mode to be performed by a self-driving control unit and a manual driving mode in which a driver performs a part of or all of a driving operation, before the manual driving mode is started, information for presenting a request for operating by the driver from a user interface unit to the driver is output to the user interface unit. The input unit receives a signal based on the operation by the driver. A notification unit notifies a self-driving control unit of a switching signal for instructing switching to the manual driving mode when a difference between a value obtained from the signal based on the operation by the driver, the signal having been input from the input unit and a reference value according to the operation request is within an allowable range.

Abstract: Behavior information input unit (54) receives stop-behavior information about vehicle (100) from automatic-driving control device (30). Image-and-sound output unit (51) outputs inquiry information for inquiring of an occupant whether a possibility of collision between an obstacle and vehicle (100) is to be excluded from a determination object in automatic-driving control device (30) to notification device (2), when a distance from one point on a predictive movement route of the obstacle to the obstacle is greater than or equal to a first threshold, and a speed of the obstacle is less than or equal to a second threshold. Operation signal input unit (50) receives a response signal for excluding the collision possibility from the determination object. Command output unit (55) outputs a command to exclude the collision possibility from the determination object to automatic-driving control device (30).

Abstract: An image display system includes a first processor, a second processor, and a comparator. The first processor acquires a behavior estimation result of a vehicle, and generates future position information after a predetermined time passes of the vehicle based on the behavior estimation result. The second processor acquires present information about the vehicle, and generates present position information on the vehicle and a peripheral object based on the acquired information. The comparator compares the future position information on the vehicle and the present position information on the vehicle and the peripheral object, and generates present image data indicating present positions of the vehicle and the peripheral object and future image data indicating future positions of the vehicle and the peripheral object. Further, the comparator allows a notification device to display a present image based on the present image data and a future image based on the future image data together.

Abstract: An information processing system includes a safe behavior determiner, clustering range controller, and safety determiner. The safe behavior determiner classifies parameter values indicating a travel state of a vehicle into multiple ranges based on travel safety. The safe behavior determiner also determines a safe behavior for the vehicle by which the travel state of the vehicle is adjusted such that the parameter values fall under a safety range with high travel safety. The clustering range controller changes a position of a boundary between the ranges according to an external environment of the vehicle. The safety determiner acquires a behavior estimation result of the vehicle and the safe behavior determined by the safe behavior determiner, and determines behavior control of the vehicle on the basis of at least the acquired behavior estimation result or safe behavior.

Abstract: A method for efficiently producing a toner for developing electrostatic images, which contains very few coarse particles and having excellent printing characteristics. The method can comprise a sieving step of removing coarse particles from colored resin particles by, using an air flow, supplying the colored resin particles to a sieve, wherein a metal mesh laminate comprising at least two metal meshes attached to each other by sintering, the metal meshes being different in opening size, is used as the sieve; wherein the metal meshes of the metal mesh laminate are laminated in order of opening size and, of the metal meshes constituting the metal mesh laminate, one having a smallest opening size is disposed on a side of supplying the colored resin particles; and wherein the opening size of the metal mesh having the smallest opening size is in a range of from 32 to 110 ?m.

Abstract: A signal recognition instruction receiving unit receives an instruction to recognize signal information in a traffic signal from an automatic driving control device. A signal information recognizer executes recognition processing for the signal information on an image from a sensor and information from a wireless device when the signal recognition instruction receiving unit receives the instruction. An image output unit outputs, to a notification device, start information indicating that the signal information recognizer starts the recognition processing for the signal information.

Abstract: A method for efficiently producing a toner for developing electrostatic images, which contains very few coarse particles and having excellent printing characteristics. The method can comprise a sieving step of removing coarse particles from colored resin particles by, using an air flow, supplying the colored resin particles to a sieve, wherein a metal mesh laminate comprising at least two metal meshes attached to each other by sintering, the metal meshes being different in opening size, is used as the sieve; wherein the metal meshes of the metal mesh laminate are laminated in order of opening size and, of the metal meshes constituting the metal mesh laminate, one having a smallest opening size is disposed on a side of supplying the colored resin particles; and wherein the opening size of the metal mesh having the smallest opening size is in a range of from 32 to 110 ?m.

Abstract: A vehicle-mounted interface device includes a receiver and a determiner. The receiver receives an input from a driver who drives a vehicle. On the basis of the input received by the receiver, the determiner determines whether or not the driver is familiar with a route along which the driver is to drive or is driving the vehicle.

Abstract: A method and apparatus are provided for representing media content that is divided in time into a plurality of segments. A network receiver receives, from a transmitting apparatus, metadata that specifies a first segment and a second segment, first segment data that is coded data of the media content for the first segment, and second segment data that is coded data of the media content for the second segment. A processor decodes the first segment data to present the media content of the first segment according to the metadata describing the first segment data as the coded data of the media content for the first segment. The processor further decodes the second segment data to present the media content of the second segment according to the metadata describing the second segment data as the coded data of the media content for the second segment.

Abstract: The driving assistance device acquires, from an autonomous driving controller that determines an action of a vehicle during autonomous driving of the vehicle, action information indicating a first action that the vehicle is caused to execute. The driving assistance device acquires, from a detector that detects a surrounding situation and a travel state of the vehicle, detection information indicating a detection result. The driving assistance device determines a second action which is executable in place of the first action, based on the detection information. The driving assistance device generates a first image representing the first action and a second image representing the second action. The driving assistance device outputs the first image and the second image to a notification device such that the first image and the second image are displayed within a fixed field of view of a driver of the vehicle.

Abstract: A method capable of causing a driver to recognize multiple objects to which attention should be paid without requiring sight line shift of the driver is for a video system including a recognition unit that recognizes a moving body existing in a foreground of a user and a display source that displays a certain image generated on the basis of a result of the recognition by the recognition unit on a display medium. The method includes determining whether two or more moving bodies exist in the foreground of the user on the basis of an input data from the recognition unit; and controlling the display source, if two or more moving bodies exist, so as to generate the certain image representing a virtual line directed to each of the moving bodies from a certain position or a certain axis and display the certain image on the display medium.

Abstract: The driving assistance device acquires, from an autonomous driving controller that determines an action of a vehicle during autonomous driving of the vehicle, action information indicating a first action that the vehicle is caused to execute. The driving assistance device acquires, from a detector that detects a surrounding situation and a travel state of the vehicle, detection information indicating a detection result. The driving assistance device determines a second action which is executable in place of the first action, based on the detection information. The driving assistance device generates a first image representing the first action and a second image representing the second action. The driving assistance device outputs the first image and the second image to a notification device such that the first image and the second image are displayed within a fixed field of view of a driver of the vehicle.

Abstract: An automation level determination section selects one of automation levels defined at a plurality of stages based on a deviation degree of reliability, the deviation degree corresponding to each of a plurality of kinds of driving behaviors that are estimation results obtained using a driving behavior model. A generator generates presentation information by applying the plurality of kinds of driving behaviors to an output template corresponding to one selected automation level in output templates corresponding to the automation levels defined at the plurality of stages respectively. An output unit outputs the presentation information that is generated.

Abstract: A driving support device includes a monitoring unit and an output unit. The monitoring unit monitors whether a sensor to be mounted on a vehicle is operating. The output unit outputs operation-state information indicating a result of the monitoring by the monitoring unit. The monitoring unit detects malfunction of the sensor based on detection accuracy of the sensor. The detection accuracy is received when the sensor operates. The output unit outputs malfunction information on the malfunction of the sensor together with the operation-state information when the monitoring unit detects the malfunction of the sensor.

Abstract: A method and apparatus are provided for representing media content that is divided in time into a plurality of segments. A network receiver receives, from a transmitting apparatus, metadata that specifies a first segment and a second segment, first segment data that is coded data of the media content for the first segment, and second segment data that is coded data of the media content for the second segment. A processor decodes the first segment data to present the media content of the first segment according to the metadata describing the first segment data as the coded data of the media content for the first segment. The processor further decodes the second segment data to present the media content of the second segment according to the metadata describing the second segment data as the coded data of the media content for the second segment.

Abstract: A visual field calculation apparatus capable of accurately calculating a visual field range of a user without using a complex configuration is provided. The visual field calculation apparatus includes a saccade detector that detects a saccade on the basis of a first gaze direction detected at a first timing and a second gaze direction detected at a second timing, a saccade speed calculator that calculates speed of the saccade on the basis of a time difference between the first timing and the second timing, the first gaze direction, and the second gaze direction, and a visual field range calculator that calculates a displacement vector of a saccade whose speed exceeds a first threshold, and calculates an area including a final point of the displacement vector as the visual field range of the user.

Abstract: A driving support device as an example of a data processor executes processing for estimating a driving behavior of a vehicle by using a driving behavior model trained based on detection results by a sensor. A detected-information input unit acquires detected information including the detection results. From the detection results included in the detected information input to the detected-information input unit, a selection unit selects a detection result that falls within predetermined selection range narrower than a range detectable by the sensor. A processing unit executes the processing, based on the detection result selected by the selection unit.