Abstract: A sensor image generated based on data obtained from a remote sensor is displayed on a display of a terminal communicating with the remote sensor. The remote sensor includes a sensor mounted on a moving body. The sensor image includes a moving body image representing an image generated based on data obtained from the sensor mounted on the moving body. In the moving body image, right and left regions are set with respect to front of the moving body. Right and left recognition assistances are superimposed respectively on the right and left regions. A color of the right recognition assistance is different from a color of the left recognition assistance.

Abstract: An object detection device that determines whether or not an object is present in a blind spot of a sensor mounted on a moving object includes an acquisition unit configured to acquire an entry/exit status of the object into/from a closed blind spot of the sensor on the basis of a detection result from the sensor, and a determination unit configured to determine the presence or absence of the object in the closed blind spot on the basis of the entry/exit status.

Abstract: A door control device has a processor configured to determine whether or not an emergency situation has occurred in a vehicle, based on operation by a user on an operating unit that is to be operated to open a door of the vehicle, and to decide to open the door when it has been determined by the first assessment unit that the emergency situation has occurred.

Abstract: A mobility service system provides a mobility service using a vehicle. The mobility service system includes one or more processors configured to assign a remote operator to a target vehicle in response to a request for remote support from the target vehicle. The remote support includes service support different from support of vehicle driving. When the remote support requested from the target vehicle is the service support, the one or more processors are further configured to execute a notification waiting process that prohibits a notification related to the service support from being issued to a passenger in the target vehicle until the remote operator is assigned to the target vehicle.

Abstract: A processor performs a mediation process of mediating remote support of at least one vehicle when receiving a request for remote support from the at least one vehicle. In the mediation process, at least two vehicles are organized into at least one group based on map information and position and traveling direction information of the at least two vehicles when requests for remote support from the at least two vehicles have been received in the same time period. The support order of the vehicles in the at least one group is determined for each group based on the map information and the position and traveling direction information of the at least two vehicles. The surrounding image information of the corresponding vehicle is transmitted to at least one support device that performs remote support of the vehicles organized into the at least one group in the support order.

Abstract: Processing for autonomous driving control of a vehicle, processing to store log data related to the autonomous driving control in one or more memory devices during an execution of the autonomous driving control, and processing to predict a mileage of the vehicle is executed. In the processing to predict the mileage, a free space of the one or more memory devices in which log data is stored is acquired. In addition, the mileage is set according to the acquired free space. The mileage is set to be shorter as the free space is smaller.

Abstract: A processing load of a server configured to manage a remote support or data traffic per unit time in sending/receiving between a target mobile vehicle of the remote support and the server is calculated. Positional information of a current location and a destination of the target mobile vehicle and map information containing the current location and the destination are obtained. When the processing load is equal to or greater than an upper limit load or when the data traffic per unit time is equal to or greater than an upper limit amount, a proposal is made to the target mobile vehicle for an avoidance route for avoiding an occurrence of the remote support based on the positional information and the map information.

Abstract: A remote support system includes a moving body and a remote support terminal operated by a remote supporter. The remote support terminal includes a display device configured to display a support image transmitted from the moving body. The display device displays an auxiliary display being a combination of a first indicator and a second indicator, together with the support image. The first indicator is displayed with a continuous positional change according to an elapsed time from a start of the remote support. The second indicator indicates a communication time needed for communication between the moving body and the remote support terminal by a gap in a position of the second indicator relative to a position of the first indicator, and is displayed with a discontinuous position change accompanying the second indicator being updated at a timing at which the remote support terminal receives the support image.

Abstract: An automated driving system one or more processors configured to recognize a situation around the vehicle from detection information detected by a recognition sensor and perform automated driving control based on a recognition result. The automated driving system execute a storing process of storing log data of the detection information in one or more storage devices while performing the automated driving control. In the storing process, the automated driving system specify a low reliability area around the vehicle where a reliability of the recognition result is low. When the low reliability area is specified, the automated driving system preferentially store the log data of target detection information that is the detection information related to the low reliability area.

Abstract: An autonomous driving route along which autonomous driving control of a vehicle is executed is set. In the setting of the autonomous driving route, at least two candidates of a route from a current location to a destination of the vehicle are set. Next, for each of the at least two candidates, a fluctuation amount of log data that fluctuates in a memory device during a travel of the vehicle along the candidate of the route. Next, a future value of a free space in the memory device at which the vehicle arrives at a destination of the candidate of the route for each of the at least two candidates based on the fluctuation amount of the log data. Then, one candidate of the route from the at least two candidates of which the future value of the free space is the maximum is selected as the autonomous driving route.

Abstract: The present disclosure relates to an autonomous driving system mounted on a vehicle. The autonomous driving system comprises a storage device and processing circuitry. The processing circuitry is configured to execute acquiring recognition data by recognizing a situation around the vehicle, generating a path plan for the vehicle based on the recognition data, performing autonomous driving control of the vehicle in accordance with the path plan, and storing a data log related to the autonomous driving control in the storage device. The data log includes a log of data used for generating the path plan. Generating the path plan includes acquiring a remaining capacity of the storage device, generating target data being the recognition data with reduced accuracy, and generating the path plan that can be generated using the target data when the remaining capacity is equal to or less than a predetermined amount.

Abstract: The present disclosure provides a travel route management system that generates a travel route for autonomous driving control of a vehicle. The travel route management system comprises one or more storage devices configured to store a travel record that includes data of past travel of the vehicle by the autonomous driving control, and processing circuitry. The vehicle comprises a target storage device that stores log data related to the autonomous driving control. The processing circuitry is configured to execute acquiring a remaining capacity of the target storage device, generating one or more candidate routes, and selecting the travel route from the one or more candidate routes. Selecting the travel route includes using a number of common points with the travel record as an index for selecting the travel route from the one or more candidate routes when the remaining capacity is smaller than a predetermined amount.

Abstract: The present disclosure provides an autonomous driving system mounted on a vehicle and configured to perform autonomous driving of the vehicle by using a machine learning model. The autonomous driving system comprises processing circuitry and one or more storage devices. When the autonomous driving is performed, the processing circuitry is configured to execute acquiring log data related to the autonomous driving, acquiring a current state of an operator of the vehicle, acquiring an ideal state that is a state of the operator required by the autonomous driving system, and storing the log data in the one or more storage devices. Storing the log data includes compressing or deleting target data that is a part of the log data when the current state of the operator matches the ideal state.

Abstract: A control system comprises one or more processors configured to perform vehicle control of a vehicle including a plurality of control functions and one or more storage devices. The control system stores log data related to the vehicle control in the one or more storage devices while performing the vehicle control. When a free capacity of the one or more storage devices is less than a threshold value, the control system restricts operation of one or more target control functions selected from the plurality of control functions.

Abstract: An automated driving system comprises one or more processors configured to perform automated driving control of a vehicle in accordance with a control parameter and one or more storage devices. The automated driving system stores log data related to the automated driving control in the one or more storage devices while performing the automated driving control. When a free capacity of the one or more storage devices is less than a threshold value, the automated driving system adjusts the control parameter to restrict traveling of the vehicle.

Abstract: The vehicle of the present disclosure stores autonomous driving data generated during execution of autonomous driving and switch a storage mode according to an available capacity of a storage area for storing the autonomous driving data. The storage mode includes an all-storage mode and a partial-storage mode. The all-storage mode is a mode that is selected when the available capacity of the storage area is equal to or larger than a threshold value, and is a mode for storing all of the autonomous driving data. The partial-storage mode is a mode that is selected when the available capacity of the storage area is less than the threshold value, and is a mode for storing only a part of the autonomous driving data. The part of the autonomous driving data stored in the partial-storage mode includes data for reproducing autonomous driving.

Abstract: An automated driving system installed on a vehicle includes one or more processors and one or more storage devices. The one or more processors perform at least a part of automated driving control of the vehicle by using a machine learning model. During execution of the automated driving control, the one or more processors acquire target data including log data related to the automated driving control that uses the machine learning model. The target data of a target storage amount are stored in the one or more storage devices per unit time or unit distance. At an upload position, at least a part of the target data stored in the one or more storage devices is uploaded to an external device. The target storage amount includes a first storage amount that increases as a remaining distance or a remaining time to the upload position decreases.

Abstract: The vehicle of the present disclosure includes a sensor for recognizing an object around the vehicle, at least one processor, and at least one memory storing a plurality of instructions executable by the at least one processor. The plurality of instructions causes the at least one processor to store data acquired by the sensor during the autonomous driving, and to suppress a storage distance of the data when a speed of the vehicle is low, as compared to when the speed of the vehicle is high.

Abstract: A method for controlling a comfort component of a vehicle includes setting a comfort component, while a passenger is occupying the vehicle, to an active state to adjust a temperature within the vehicle to a passenger desired temperature based on receiving an input from the passenger. The method further includes maintaining, after the passenger exited the vehicle, the comfort component in an active state based on a likelihood of the passenger returning to the vehicle satisfying an active state condition. The method still further includes capturing, after the passenger exited the vehicle, an image of a person approaching the vehicle via one or more sensors of the vehicle. The method also includes adjusting the comfort component from the active state to a default state based on an identity of the person being different from an identity of the passenger, the identity of the person being determined based on the image.

Abstract: Disclosed is a vehicular environment estimation device capable of accurately estimating a travel environment around own vehicle on the basis of a predicted route of a mobile object or the like, which is moving in a blind area. A vehicular environment estimation device that is mounted in the own vehicle detects a behavior of another vehicle in the vicinity of the own vehicle, and estimates a travel environment, which affects the traveling of another vehicle, on the basis of the behavior of another vehicle. For example, the presence of another vehicle, which is traveling in a blind area, is estimated on the basis of the behavior of another vehicle. Therefore, it is possible to estimate a vehicle travel environment that cannot be recognized by the own vehicle but can be recognized by another vehicle in the vicinity of the own vehicle.