A method executed by an information processing device includes acquiring first information indicating use records of a user for each of a plurality of transportations, acquiring second information indicating preference levels of the user for each of the transportations, and outputting third information suggesting the user to use at least one transportation among the transportations, based on the first information and the second information.

A driver assistance method for a vehicle includes the steps of establishing an energy prediction for a route on the basis of an anticipated driver behavior, determining a driving behavior which is optimized with regard to the energy prediction, and outputting an action recommendation on the basis of the optimized driving behavior.

Aspects and implementations of the present disclosure address shortcomings of the existing technology by enabling routing of an autonomous vehicles (AV) by identifying routes from a first location to a second location, identifying a target efficiency value of autonomous driving along a respective route, determining, in view of historical data for the respective route and using one or more randomized conditions, a confidence level associated with the target efficiency value, selecting, based on the target efficiency values and the associated confidence level, a preferred route, and causing the AV to select the first route for travel from the first location to the second location.

A system and method automatically sets vehicle functions of a vehicle, while taking account of external influencing factors. The system includes at least one back-end server which is configured to receive vehicle data of the vehicle and, while taking account of at least part of the vehicle data, to determine data with regard to external influencing factors. The back-end server is configured to determine optimal settings of the vehicle functions of the vehicle, while taking account of the vehicle data and the data with regard to the external influencing factors, and to transmit the optimum settings of the vehicle functions to the vehicle. The vehicle is configured to control the vehicle functions such that the optimum vehicle functions determined by the back-end server are adopted.

The techniques discussed herein may comprise an autonomous vehicle guidance system that generates a path for controlling an autonomous vehicle based at least in part on a static object map and/or one or more dynamic object maps. The guidance system may identify a path based at least in part on determining set of nodes and a cost map associated with the static and/or dynamic object, among other costs, pruning the set of nodes, and creating further nodes from the remaining nodes until a computational or other limit is reached. The path output by the techniques may be associated with a cheapest node of the sets of nodes that were generated.

A route display apparatus (10) according to the present disclosure includes: an acquisition unit (11) that acquires friend account information of a friend account that is connected online to an account of interest; a specification unit (12) that specifies a traffic site near an activity site of a friend user who uses the friend account based on the acquired friend account information; a calculation unit (13) that calculates an estimated movement route of a user of interest who uses the account of interest, the estimated movement route including the specified traffic site; and a display unit (14) that displays the calculated estimated movement route.

An electronic control unit includes: a target information acquiring section that acquires information about a target around a user's vehicle; a storage section that stores management information related to at least either an entrance position or exit position of the target in a predetermined subject area on a basis of the information about the target acquired by the target information acquiring section; and a driving trajectory planning section that plans a driving trajectory of the user's vehicle on a basis of the management information stored in the storage section.

Provided is a vehicle control device configured to execute specific control while at the same time sequentially switching the specific control that defines an operation to be executed by each of a plurality of surrounding environment acquisition devices configured to acquire information on a surrounding environment of a vehicle, a recognition/determination ECU configured to generate a path on which the vehicle is to travel, and an integrated control ECU configured to control the vehicle based on the generated path along with an elapse of time since detection of an anomaly, when the anomaly is detected in any one of the plurality of surrounding environment acquisition devices, the recognition/determination ECU, and the integrated control ECU.

A system for managing a fleet of vehicles having autonomous or semi-autonomous control based upon real-time data analysis of live driving conditions including traffic conditions, weather conditions, pollution conditions, vehicle operations, vehicle emissions, legal restrictions, and fleet conditions. Older vehicles may be retrofitted with partial or total compatibility with the system via an aftermarket dongle that connects to the vehicle through a diagnostic port.

The present disclosure relates to a control device, a control method, and a mobile object that effectively use storage capacity while saving the storage capacity and efficiently plan a movement route by storing or forgetting (deleting) a past detailed map according to importance during autonomous movement. When a global route is set, by storing or forgetting (deleting) a detailed map according to the importance on the global route to plan a local route from a frequently used global route, it is possible to efficiently plan a local route by combining detailed maps stored in the past.