Abstract: A driving support apparatus in a vehicle, includes: an information acquisition unit configured to acquire peripheral information of the vehicle; a risk prediction unit configured to predict a risk region on the periphery of the vehicle using the peripheral information; a sight line specifying unit configured to specify a position of a sight line of a driver of the vehicle in the peripheral information; and a control unit configured to switch driving support control based on a degree of deviation between the risk region predicted by the risk prediction unit and the position of the sight line specified by the sight line specifying unit.

Abstract: A driving assistance device includes a determining part configured to determine a target relative position with respect to other vehicle, which is traveling in a movement destination lane that is a merging destination or a lane change destination of a host vehicle, for entering the movement destination lane based on a detection result of the other vehicle, and a notification controller configured to output a notification sound, which differs between a case in which acceleration is required for the host vehicle and a case in which deceleration is required for the host vehicle, from a speaker in order to perform an alignment with respect to the target relative position determined by the determining part in an advancing direction of the host vehicle.

Abstract: Provided is a system including a record unit for recording identification information of an information terminal and appearance information of a moving object associated with the information terminal in association with each other. The system includes an acquisition unit for acquiring information representing an appearance of a moving object to be notified. The system includes an identification information specification unit for specifying the identification information recorded by the record unit in association with the appearance information matching the information acquired by the acquisition unit.

Abstract: A vehicle control device configured to recognize a surrounding situation of a host vehicle, control at least a speed of the host vehicle based on the surrounding situation, determine a target relative position between two other vehicles in a state in which there is no vehicle in a second lane when the host vehicle is allowed to perform merge-point-related movement or a lane change from a first lane to the second lane, determine a target speed serving as a target when the host vehicle reaches the target relative position, and adjust the speed of the host vehicle according to pole-assignment control based on a position deviation that is a deviation between the target relative position and a position of the host vehicle in a road extension direction and a vehicle speed deviation that is a deviation between the speed of the host vehicle and the target speed.

Abstract: A control apparatus is configured to control advertisement data presented to an occupant of a movable object having an automated driving function, and includes a travel road specification unit for specifying a road scheduled to be travelled by the movable object corresponding to the destination, a setting unit for setting, according to the road scheduled to be travelled, a switching recommendation point for switching a driving mode of the movable object from automated drive to driver-led manual drive, a notification plan generation unit for setting a degree of importance of the advertisement data to be presented according to the driving mode for the road scheduled to be travelled, and generating a notification plan for presenting the advertisement data to the occupant according to the set degree of importance, and a notification control unit for presenting notification data including the advertisement data to the occupant according to the notification plan.

Abstract: An image processing device sets an initial value of at least one of parameters of a function that approximates a road boundary in an image representing an area in front of a mobile object, captured by a camera mounted on the mobile object, on the basis of identification values of other parameters among the parameters, iteratively updates the parameters at a predetermined time point on the basis of the parameters at a previous time point to the predetermined time point and constraint conditions set for the parameters, and executes driving control or driving assistance of the mobile object on the basis of the road boundary approximated by the function that has the updated parameters.

Abstract: A driving assistance device of an embodiment includes a recognizer that recognizes a surroundings situation of a vehicle, a display controller that causes an image for assisting an occupant driving the vehicle to be displayed in a plurality of preset display modes on a display device, and a driving controller, the plurality of display modes include at least a display mode corresponding to a mode in which the vehicle travels on a narrow road, the display controller causes an image imitating the vehicle to be displayed when the display controller causes an image to be displayed in a display mode corresponding to the narrow road, and causes a direction in which the vehicle should travel to be displayed and causes an image for prompting the occupant to perform a steering operation to be displayed when there is an object around the vehicle.

Abstract: A driving assistance device of an embodiment includes a recognizer that recognizes a surroundings situation of a vehicle, and a display controller that causes an image for assisting an occupant driving the vehicle to be displayed in a plurality of preset display modes on a display device, the plurality of display modes include display modes corresponding to at least a display mode corresponding to a mode in which the vehicle travels on a narrow road, and the display controller causes transition to any one of the plurality of display modes to be performed on the basis of the surroundings situation recognized by the recognizer.

Abstract: A mobile object including a first sensor configured to detect a target object in surroundings, recognizes and sets a user; acquires a predicted path indicating a future path of the user that has been set, based on a movement of the user and an output from the first sensor, and generates a path of the mobile object to lead the user on a forward side of the user, based on the predicted path; and causes the mobile object to travel in accordance with the path that has been generated, and upon detection of a change in a moving direction of the user, based on the output from the first sensor, modifies the generated path to cause the mobile object to move to the forward side of the user in accordance with the moving direction that has been changed.

Abstract: A mobile object including a sensor configured to detect a target object in surroundings, recognizes and sets a user, based on an output from the sensor; generates a path of the mobile object to follow the user at a first position that is an obliquely rear side of the user in accordance with a movement of the user that has been set and the output from the sensor; and causes the mobile object to travel in accordance with the path that has been generated.

Abstract: An image processing device divides an image representing an area in front of a mobile object, which is captured by a camera mounted on the mobile object, at predetermined intervals to generate an element function that approximates a track boundary in each of divided areas on the basis of: a probability value indicating an existence probability of the track boundary for each of coordinates in each of the areas; and the coordinates corresponding to the probability value, generates a composite function that approximates a track boundary in the front area by combining the element functions generated for each of the areas, and executes driving control or driving assistance of the mobile object on the basis of the track boundary approximated by the generated composite function.

Abstract: An image processing device acquires a probability value and corresponding coordinates by using a learned model that outputs a probability value indicating an existence probability of a road boundary for each of coordinates in an image in response to an input of the image representing an area in front of a mobile object, captured by a camera mounted on the mobile object, rearranges a plurality of coordinates in descending order of the probability value, iteratively updates parameters of a function that approximates the road boundary in the image using the plurality of coordinates in the rearranged order, and executes driving control or driving assistance of the mobile object on the basis of the road boundary approximated by the function defined by the updated parameters.

Abstract: An imaging apparatus provided inside a vehicle is provided. The imaging apparatus is capable of capturing images with different degrees of sensitivity, and the imaging apparatus captures an image for recognizing an inside of the vehicle with high sensitivity, and captures an image for recognizing an outside of the vehicle with low sensitivity.

Abstract: A control device that controls imaging with fisheye cameras disposed on front and rear portions and right and left side portions of a vehicle, the control device comprising: an acquisition unit configured to acquire information regarding a speed of the vehicle; and a control unit configured to control a conversion center position for converting a fisheye image of each of the fisheye cameras into a planar image based on the speed of the vehicle.

Abstract: A control device includes: a distance measuring device that detects an object; a support device that supports the distance measuring device; and a controller configured to detect a prescribed object and to control a state of the support device. When the object has been detected, the controller is configured to cause the distance measuring device to emit electromagnetic waves in a state in which the distance measuring device is supported in a first posture or at a first position and then to cause the distance measuring device to emit electromagnetic waves in a state in which the distance measuring device is supported in a second posture or at a second position to which a direction or a position of the distance measuring device changes in at least one of an upward direction and a downward direction from the first posture or the first position.

Abstract: A learning method includes steps of associating, with an extended area in a bird's-eye view image, an annotation indicating that the extended area is a three-dimensional object; and generating, based on training data in which a bird's-eye view image is associated with an annotated bird's-eye view image obtained by assigning an annotation to a three-dimensional object in the bird's-eye view image, a trained model by learning parameters of a machine learning model so that the trained model receives input of a bird's-eye view image to output a three-dimensional object in the bird's-eye view image.

Abstract: Provided is a mobile object control device comprising a storage medium storing computer-readable commands and a processor connected to the storage medium, the processor executing the computer-readable commands to: acquire a subject bird's eye view image obtained by converting an image, which is photographed by a camera mounted in a mobile object to capture a surrounding situation of the mobile object, into a bird's eye view coordinate system; input the subject bird's eye view image into a trained model, which is trained to receive input of a bird's eye view image to output at least a three-dimensional object in the bird's eye view image, to detect a three-dimensional object in the subject bird's eye view image; detect a travelable space of the mobile object based on the detected three-dimensional object; and cause the mobile object to travel so as to pass through the travelable space.

Abstract: A mobile object control device includes a storage medium storing computer-readable instructions and a processor connected to the storage medium. The processor executes the computer-readable instructions to recognize a surrounding situation of a mobile object, set a risk area to be avoided in a traveling process of the mobile object in a plurality of distance-specific areas centered on the mobile object on the basis of the recognized surrounding situation, generate a target trajectory indicating a route along which the mobile object is to travel in the future on the basis of the set risk area, and cause the mobile object to travel along the generated target trajectory. The processor sets different types of risk areas in accordance with the plurality of distance-specific areas.

Abstract: A driving assistance device includes a determining part configured to determine a target relative position with respect to other vehicle, which is traveling in a movement destination lane that is a merging destination or a lane change destination of a host vehicle, for entering the movement destination lane based on a detection result of the other vehicle, and a notification controller configured to output a notification sound, which differs between a case in which acceleration is required for the host vehicle and a case in which deceleration is required for the host vehicle, from a speaker in order to perform an alignment with respect to the target relative position determined by the determining part in an advancing direction of the host vehicle.

Abstract: A control device mounted on a mobile object acquires surrounding situation information indicating a surrounding situation of a mobile object recognized by an object recognition device mounted on the mobile object, detects a predetermined reference object present in a traveling direction of the mobile object on the basis of the surrounding situation information, identifies a travelable area of the mobile object on the basis of the surrounding situation information, controls traveling of the mobile object such that the mobile object travels in the travelable area, causes the mobile object to move closer to the reference object when the reference object is detected, and detects an accompanying object accompanying the reference object on the basis of the surrounding situation information recognized by the object recognition device after the mobile object moves closer to the reference object, and identifying the travelable area by excluding the reference object and the accompanying object.