Abstract: A vehicle control device includes: a peripheral situation recognition unit (132) configured to recognize a peripheral situation of an automatic driving vehicle; a driving control unit (140, 160, (138)) configured to control one or both of steering and an acceleration or deceleration speed of the vehicle based on the peripheral situation recognized by the peripheral situation recognition unit; and a potential risk estimation unit (138) configured to estimate presence or absence and classification of a potential risk meeting with an obstacle based on classification of a target recognized by the peripheral situation recognition unit and a positional relation between the vehicle and the target. The driving control unit performs the driving control based on an estimation result of the potential risk estimation unit.

Abstract: An information-processing device of the present invention includes an acquisition unit that acquires sensor detection information indicating a detection result from a sensor mounted in a vehicle, a derivation unit that derives a plurality of indices for a surrounding environment based on the sensor detection information acquired by the acquisition unit, and an evaluation unit that evaluates attribute information of a point at which the sensor detection information is acquired based on the plurality of indices derived by the derivation unit.

Abstract: A mobile object control method includes recognizing an object existing around a mobile object and a follower following the mobile object, generating a first trajectory, which is a target trajectory of the follower for the follower to move while avoiding contact with the object without considering the mobile object as an object that the follower is to avoid contact with, based on a result of the recognition, generating a second trajectory, which is a target trajectory of the mobile object, based on the first trajectory, and controlling a mechanism for moving the mobile object so that the mobile object moves along the second trajectory.

Abstract: A control device of a mobile body is provided. The control device includes at least one processor circuit with a memory comprising instructions. When executed by the processor circuit, the instructions cause the processor circuit to at least: plan an action of the mobile body; acquire an evaluation value for starting the action; and determine to start the action when the evaluation value acquired at a first time satisfies a first condition and the evaluation value acquired at a second time later than the first time satisfies a second condition. The second condition is more strict than the first condition.

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 model parameter learning device and the like capable of learning model parameters such that the influence of a noise in input data can be suppressed. A model parameter learning device (1) alternately carries out first learning processing for learning model parameters W1, b1, W2 and b2 such that an error between data Xout and data Xorg is minimized, and second learning processing for learning model parameters W1, b1, Wm, bm, Wq and bq such that a loss function LAE is minimized.

Abstract: A 3D object detection method includes: obtaining two-dimensional (2D) coordinates of at least one predetermined key point of a target object in an image to be processed; constructing a pseudo 3D detection body of the target object in a 2D space according to the 2D coordinates of the at least one predetermined key point; obtaining depth information of a plurality of vertices of the pseudo 3D detection body; and determining a 3D detection body of the target object in a 3D space according to the depth information of the plurality of vertices of the pseudo 3D detection body.

Abstract: A vehicle control method includes recognizing an object, generating a target trajectory of a vehicle, and automatically controlling driving of the vehicle on the basis of the target trajectory, calculating a region between a first virtual line, which passes through a reference point using the vehicle as a reference and a first point present in the vicinity of an outer edge of the object, and a second virtual line, which passes through the reference point and a second point present in the vicinity of the outer edge of the object, as a region through which the vehicle should avoid to travel, and excluding the target trajectory present in the traveling avoidance region, and automatically controlling the driving of the vehicle on the basis of a remaining target trajectory remained without being excluded.

Abstract: Provided is a vehicle control device including: a recognition unit configured to recognize an object which is located near a vehicle; a calculation unit configured to calculate an area of risk which is distributed around the object; a generation unit configured to generate a target trajectory for the vehicle to travel along on the basis of the area; and a driving control unit configured to automatically control at least one of a speed or steering of the vehicle on the basis of the target trajectory, wherein the generation unit selects one or a plurality of models from a plurality of models that output the target trajectory in a case where the area is input, inputs the area calculated by the calculation unit to the selected model, and generates the target trajectory on the basis of an output result of the model to which the area is input, and the calculation unit changes a range of the area in accordance with a type of model selected by the generation unit.

Abstract: A vehicle control method includes recognizing an object, generating plurality of target trajectories which the vehicle travels using a plurality of models, and automatically controlling driving of the vehicle based on the target trajectory, the plurality of models include a first model which is a rule based model or a model based model, and a second model which is a machine learning based model, and the second target trajectory is selected, when the vehicle accelerates after a speed of the vehicle has been equal to or smaller than a predetermined value, under a condition in which driving of the vehicle is controlled based on a first target trajectory output by the first model and under a condition in which driving of the vehicle is controlled based on a second target trajectory output by the second model.

Abstract: A vehicle control device includes a recognizer configured to recognize an object near a vehicle, a generator configured to generate one or more target trajectories, along which the vehicle travels, on the basis of the object, and a driving controller configured to automatically control driving of the vehicle on the basis of the target trajectories. The generator calculates a travelable area, which is an area where the vehicle is able to travel, on the basis of a state of the object, and excludes a target trajectory outside the calculated travelable area from the one or more generated target trajectories, and the driving controller automatically controls the driving of the vehicle on the basis of the target trajectory that remains without being excluded by the generator.

Abstract: A vehicle control method includes recognizing an environment around a vehicle, determining a degree of difficulty of a recognition of the environment on the basis of the environment, generating a plurality of target trajectories along which the vehicle is to travel on the basis of the environment and selecting one target trajectory from the generated plurality of target trajectories in accordance with the determined degree of difficulty, and automatically controlling the driving of the vehicle on the basis of the selected target trajectory.

Abstract: A vehicle control method includes recognizing a vicinity of a vehicle, setting a risk index for a traffic participant, and controlling a vehicle-mounted instrument of the vehicle based on the risk index which is set by the setter, and setting a risk index for a position at which the traffic participant will be present in the future based on ease of entry of the traffic participant from a sidewalk to a roadway adjacent to the sidewalk in a region that the traffic participant traveling on the sidewalk will enter in the future, and increasing a risk index to be set on the roadway side as there is a greater tendency for the traffic participant to enter the roadway.

Abstract: A mobile object control device includes a first controller that recognizes a surrounding situation of a mobile object based on an output of a detection device having a space around the mobile object as a detection range and generates a first movement plan for the mobile object in a first period based on the recognized surrounding situation of the mobile object, and a second controller that generates a second movement plan for the mobile object in a second period shorter than the first period, and when the second controller generates label data in which label information indicating different values depending on at least the presence or absence of a moving object is imparted to each of division elements obtained by dividing the space around the mobile object into a finite number, and generates the second movement plan based on the label data.

Abstract: A vehicle control method includes recognizing a periphery of a vehicle, a first vehicle and a second vehicle present in the periphery, setting a target area between the first vehicle and the second vehicle based on a reference position of a first type of the first vehicle present in a lane of a lane change destination and a reference position of the first type of the second vehicle behind the first vehicle and present in the lane, and controlling the vehicle to enter the target area set based on a reference position of a second type of the first vehicle and a reference position of the second type of the second vehicle.

Abstract: An information processing apparatus recognizes a target within an actual image by executing processing of a neural network. The information processing apparatus obtains intermediate outputs which correspond to the actual image and a computer graphics (CG) image and which are from a hidden layer when each of the actual image and the CG image has been separately input to the neural network, and causes the neural network to perform learning with use of an evaluation values based on a first evaluation function and a second evaluation function, the first evaluation function causing the evaluation value to decrease as a difference between a recognition result and training data decreases, the second evaluation function causing the evaluation value to decrease as a difference between the intermediate outputs corresponding to the actual image and the CG image decreases.

Abstract: A control apparatus plans a movement route of a moving body based on a recognition result of an exterior environment of the moving body; corrects the planned movement route, based on a recognition result of an obstacle in the exterior environment of the moving body; and controls the movement of the moving body based on the corrected movement route. The recognition result of the obstacle includes a recognition result of a side portion of the obstacle with respect to the movement route of the moving body, and in the correction, the planned movement route is corrected based on a correction amount continuously obtained based on the recognition result of the obstacle associated with advancement of the moving body.

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: A control device controls a display device capable of displaying visual information for a passenger of a moving body, in two or more display regions. The control device causes adjacent target regions of the display regions to change from a display state in which the information is displayed to a display restricted state in which display is restricted, according to a predetermined order, when a predetermined condition is satisfied. The control device determines the target regions and the order, based on a traveling direction of the moving body at the time when the condition is satisfied or a traveling direction of the moving body that is predicted after the time when the condition is satisfied.

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.