Abstract: An autonomous driving system including: a path planning unit configured to plan a path by a path planning model based on a detection result of an on-vehicle sensor of a vehicle and map information; a reference path calculation unit configured to calculate a reference path; an influence degree calculation unit configured to calculate an influence degree with which a periphery of the vehicle is influenced by autonomous traveling of the vehicle along the planned path based on a comparison result between the planned path and the reference path; a threshold value calculation unit configured to calculate an influence degree threshold value which is a threshold value of the influence degree based on a peripheral situation of the vehicle; and a notification controller configured to issue a notification to an occupant of the vehicle when the influence degree is equal to or greater than the influence degree threshold value.

Abstract: An autonomous driving system for causing a storage unit of a vehicle to store output data related to autonomous driving control calculated based on a detection result of an in-vehicle sensor of the vehicle, the autonomous driving system including: a log acquisition unit configured to acquire a driving scene in which the output data is calculated and the output data as log data in association with each other; an influence degree acquisition unit configured to acquire a preset degree of influence of the driving scene on surroundings of the vehicle based on the driving scene; and a log storage unit configured to cause the storage unit of the vehicle to store the log data with a priority corresponding to the degree of influence of the driving scene associated with the log data.

Abstract: The autonomous driving system includes an external sensor, an internal sensor configured to detect a traveling state of the vehicle, a machine learning model configured to receive a detection results of the external sensor and the internal sensor as input values and outputs an instruction value of autonomous driving, an operation unit configured to perform the autonomous driving of the vehicle based on the instruction value output, a transmission unit configured to transmit information to a device outside the vehicle, and a control unit, wherein the control unit extracts the input value and the instruction value in response to receiving the user operation related to the information transmission via the user interface, and causes the transmission unit to transmit the extracted input value and the extracted instruction value of the machine learning model to the device outside the vehicle.

Abstract: An automated driving system for deciding to change a travel state of a host vehicle using a machine learning model in an automated driving control process for the host vehicle includes an automated driving control unit configured to decide to change the travel state of the host vehicle using the machine learning model on the basis of a preset target route and position information of the host vehicle and map information, or a detection result of an external sensor of the host vehicle, and an information presentation unit configured to present a travel state change factor, which is a main cause of the change in the travel state, and the change in the travel state of the host vehicle to a user of the host vehicle when the automated driving control unit decides to change the travel state of the host vehicle.

Abstract: An autonomous driving system includes an external sensor, an internal sensor, a machine learning model configured to receive a detection result of the external sensor and the internal sensor as input values and output an instruction value of autonomous driving, an operation unit configured to perform the autonomous driving based on the instruction value, a user interface, and a control unit, wherein the control unit includes, determining at least one risk candidate scene, and extracting the input value and the instruction value in the at least one risk candidate scene, and causes the user interface to notify the occupant of monitoring information including information indicating that the input value and the instruction value have been extracted.

Abstract: There is provided a marking line detection device for detecting a marking line in front of a vehicle. The marking line detection device includes: a known marking line recognition unit configured to recognize a known marking line in front of the vehicle based on past marking line detection information or map information including marking line information and location information of the vehicle; a marking line detection unit configured to detect a marking line in front of the vehicle with the marking line detection model; and an information providing unit configured to perform image display of the known marking line and the marking line for a user of the vehicle when the amount of deviation in a width direction between the known marking line and the marking line is equal to or greater than an image display threshold value.

Abstract: A recognition state notification device includes: a confidence level calculation unit configured to calculate a confidence level in recognition of a recognition target recognized by a recognition unit; and a notification unit configured to notify a supervisor of a vehicle of a recognition target whose confidence level is equal to or lower than a reference value.

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: 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: 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: 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 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: 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 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: 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: 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 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: 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 autonomous driving system detects information related to at least one of driving conditions and surrounding conditions of a vehicle using one or more sensors, implements vehicle control using a machine learning model based on the information, presents the detection results of the sensor when a detection performance of the sensor is lower than a predetermined level, and presents the detection results of the sensor corresponding to a situation when a situation with a risk higher than a specified value occurs in the vehicle.