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.

Abstract: A control system for a mobile object includes: a first sensor; a second sensor, different from the first sensor, that is mounted in the mobile object and is configured to detect an object by causing the mobile object to contact or approach the object; and a control device configured to recognize circumstances of the mobile object on the basis of a detection result from the first sensor and to control movement of the mobile object on the basis of the circumstances. The control device assumes that a second object which is not recognizable or hard to recognize is present at a reference position which is determined on the basis of a position of a prescribed first object when the first object has been recognized and causes the mobile object to move to a position at which the second sensor is able to detect the second object.

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: 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: A driving assistance device includes a storage device storing a program and a hardware processor connected to the storage device. The hardware processor reads and executes the program stored in the storage device to recognize a risky physical object located near a mobile object on the basis of an output of a physical object detection device, cause at least one speaker to output a notification sound on the basis of a position of the risky physical object, and when the notification sound is output, cause the at least one speaker to output a first notification sound if the risky physical object is located in a first region including a region in front of the mobile object and cause the at least one speaker to output a second notification sound if the risky physical object is located in a second region including a region behind the mobile object. The first notification sound is a sound having a pitch different from that of the second notification sound.

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 driving assistance device includes a storage device configured to store a program and a processor connected to the storage device. The processor executes the program stored in the storage device to acquire information about a target position decided on as a position relative to another moving object located in a second lane when a host moving object merges or changes lanes from a first lane to the second lane and cause a speaker to output a sound obtained by combining a basic sound for acceleration guidance with an additional sound for the acceleration guidance having a higher frequency than the basic sound for the acceleration guidance when the host moving object should accelerate such that position alignment related to a traveling direction of the host moving object is performed with respect to the target position.

Abstract: A driving assistance device includes a storage device configured to store a program and a processor connected to the storage device. The processor executes the program to recognize a physical object, generate a future avoidance trajectory along which a moving object is able to move while avoiding the contact with the physical object, acquire a steering state of the moving object, determine an amount of change in an avoidance trajectory error, calculate an index value by making a weight of an avoidance trajectory error at a point in time earlier than a reference point in time greater or less than a weight of the avoidance trajectory error at the reference point in time according to the amount of change, and guide a driver of the moving object or the moving object such that the steering state of the moving object is changed in accordance with the index value.

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 ship assistance device including a storage medium storing a computer-readable command and a processor connected to the storage medium, the processor executing the computer-readable command to: calculate a pitching amount of a ship body based on a plurality of images photographed by a camera mounted on the ship body; estimate a pitching cycle of the ship body at least based on the calculated pitching amount; predict pitching of the ship body based on the estimated pitching cycle; and control a throttle of the ship body so as to reduce the predicted pitching of the ship body.

Abstract: A vehicle includes a communicator configured to receive driving information from a management server, a controller configured to drive the vehicle on the basis of the driving information from the communicator, a manager configured to manage a compartment of the vehicle in which a service user receives a service from a service provider, and an interface set up in association with service-related information provided by the service provider and the compartment.

Abstract: A control device includes a storage device which has stored a program, and a hardware processor, in which the hardware processor executes the program stored in the storage device, thereby acquiring a peripheral image of the mobile object, which is an image captured by a fisheye camera mounted on a mobile object, calculating an instruction regarding future traveling of the mobile object as a base trajectory in an orthogonal coordinate system, coordinate-converting the acquired base trajectory in the orthogonal coordinate system into a base trajectory in a fisheye camera coordinate system, calculating a risk of the base trajectory in the fisheye camera coordinate system on the basis of the peripheral image, and the base trajectory in the fisheye camera coordinate system, and calculating a traveling trajectory by modifying the base trajectory in the orthogonal coordinate system on the basis of the risk of the base trajectory in the fisheye camera coordinate system.

Abstract: An automated driving vehicle (200) includes a communication device (220), a biometric information acquirer (240), and an automated driving controller (250). The communication device (220) is configured to transmit biometric information acquired by the biometric information acquirer (240) to an external device and receives a response signal including attribute information for the transmitted biometric information. The automated driving controller (250) is configured to execute automated driving according to route information formed on the basis of the attribute information included in the received response signal.

Abstract: An information processing system includes an acquirer configured to acquire a boarding request, a deriver configured to derive, when an action schedule of an automatic driving vehicle includes a standby state based on a boarding request acquired by the acquirer, a usage charge of the automatic driving vehicle reflecting a cost generated in a traveling state in which the automatic driving vehicle carries a user and travels and a cost generated in the standby state, and an output configured to output information including the usage charge derived by the deriver.

Abstract: A driving assistance device includes a storage medium that stores computer-readable instructions, and a processor connected to the storage medium. The processor executes the computer-readable instructions to recognize an object around a moving body, perform first control for avoiding contact between the moving body and the recognized object by steering, perform second control for avoiding contact between the moving body and the recognized object by braking, derive an estimated value of a yaw rate generated in the moving body on the basis of reference information including at least a plurality of types of information different from a measured value of a yaw rate output by a yaw rate sensor mounted on the moving body, and suppress the first control if a deviation between the measured value and the estimated value is greater than a reference.

Abstract: There is provided a travel reference line determination system and an automatic driving system capable of determining a travel reference line of a vehicle appropriately even under conditions where information representing the track environment of the vehicle is hard to get. An ECU of an automatic driving system calculates a model y coordinate value ymw_i using a map in FIG. 4 (Step 12), calculates an estimated y coordinate value y_i using track environment data D_info (Step 11), calculates curvature C so that an error between the model y coordinate value ymw_i and the estimated y coordinate value y_i may be minimized (Step 18), calculates a travel trajectory Xf using the curvature C (Step 4), and executes automatic driving control using the travel trajectory Xf (Steps 31 to 33).

Abstract: A printer comprises a cutter; a non-volatile storage module; a command receiving module configured to receive a command for instructing a cutting method of a continuous paper from an information processing apparatus connected to the printer; a first cutting control module configured to control an operation of the cutter to cut the continuous paper in the cutting method instructed by the command; a recording module configured to record information indicating the cutting method in the storage module at the time of paper cutting based on the command; and a second cutting control module configured to cut the continuous paper in a cutting method indicated by the information stored in the storage module at the time of paper cutting without the command.

Abstract: An experience providing system includes: a passenger information detector configured to detect information regarding a passenger of a vehicle; an outside information detector configured to detect information outside the vehicle; an output section configured to output sound; a virtual image generator configured to output display; and a provider configured to dynamically provide an interaction to the passenger of the vehicle by causing the sound output from the output section to be synchronized with the display output from the virtual image generator on the basis of detection results of the passenger information detector and the outside information detector.

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: A training device includes a storage device that has stored a program, and a hardware processor, in which the hardware processor executes the program stored in the storage device, thereby acquiring a captured image of a road, adding a computer graphic image of an object present on a road to an actually captured image based on the captured image, and training parameters of a model to output a type of the object when an image is input using a type of the added computer graphic image as teacher data.