A vehicle includes a communicator that is mounted on the vehicle to perform wireless communication with a server and a controller operates the communicator to transmit an accident reception request signal and image data acquired by another vehicle to the server when the vehicle has an accident with an accident target vehicle. The controller operates the communicator to receive a fault ratio from the server when the server generates fault ratio data between the vehicle and the accident target vehicle based on the image data.

Systems and methods for repositioning autonomous vehicles are disclosed. The systems and methods facilitate moving vehicles of a fleet of vehicles into more advantageous locations. For example, autonomous vehicles can be moved from positions where a vehicle would be difficult to access by a user and/or be less likely to be used by a user to positions that provide easier access by a user and/or make the vehicle more likely to be used.

A method for generating energy-optimized travel routes for a motor vehicle includes one or more of the following: receiving an origin destination (OD) of the motor vehicle and an encrypted energy consumption database of the motor vehicle; generating N candidate routes for the OD; evaluating encrypted energy consumption over a route using an encrypted energy consumption database; applying at least one of homomorphic addition function or homomorphic multiplication function to the encrypted energy consumption data; and returning N candidate routes and their encrypted energy consumption to a client.

The above measurement device acquires output data from a sensor unit for detecting surrounding feature, and extracts, from the output data, data corresponding to detection result in a predetermined range in a predetermined positional relation with an own position. The predetermined range is determined in accordance with accuracy of the own position. Then, the measurement device executes predetermined processing based on the extracted data.

The described technology is generally directed towards digital map truth maintenance. Map inputs shared among multiple users of a shared overlay map service can have a range of credibility, from not credible to highly credible. The disclosed digital map truth maintenance technologies can be used to enhance credibility of shared map inputs. Credibility values can be calculated for map inputs, based on any of multiple factors. Map inputs having sufficiently high credibility, such as a credibility value determined to be above a threshold value, can be shared among multiple mobile devices.

Systems and methods for tracking and evaluating fuel consumptions of vehicles are provided. The method can involve operating a telematics device installed in the vehicle to: collect fuel data from at least one fuel data source of the vehicle; track, for each fuel data source, a cumulative amount of fuel consumed by the vehicle; determine a confidence level of each fuel data source; identify an initial fuel data source; generate a plurality of mid-trip fuel records; identify a final fuel data source based on a priority of each fuel data source and each confidence level of each fuel data source; determine whether the plurality of mid-trip fuel records is valid; and transmit the plurality of mid-trip fuel records and an indication of whether the plurality of mid-trip fuel records is valid to a fleet management system.

A server communicates with a terminal device used by a user, and an external server. The server includes a memory, a server, and a processor. The memory stores map information and timetable information for public transportation. The server communication device acquires, from the external server, a rental place and a riding start time of a vehicle reserved by the user. The processor sets the rental place as a destination and the riding start time as an arrival time based on the map information and the timetable information, and executes a route search. The processor controls the server communication device such that the server communication device outputs a route, a mode of transport, and an estimated travel time, which are acquired from the route search, and that the second application displays, as the users' schedule, the route, the mode of transport, and the estimated travel time.

Technologies are disclosed herein for selecting one or more content instances of a plurality of content instances for display on a head unit of a vehicle. The content instances correspond to a location of a vehicle and are received by the head unit. The head unit obtains vehicle specific information from memory of the head unit. Based on the vehicle specific information, the head unit selects the one or more content instances using a set of criteria for determining which, if any, content instances to display. Selection of the one or more content instances using the set of criteria may involve consideration of information associated with individual instances of the plurality of content instances. The selected one or more content instances are displayed on a display of the head unit.

An information processing device includes a control unit that executes: acquiring a first place where a demand for a dispatch service is predicted to be generated; and creating a first schedule of inspection or repair of a first vehicle that is used for the dispatch service, such that the inspection or the repair of the first vehicle is performed at a first shop and then the first vehicle arrives at the first place on a date and hour when the demand for the dispatch service is predicted to be generated, the first shop being a shop that is around the first place and where the inspection or the repair of the first vehicle is capable of being performed.

A system and a method for predicting a battery consumption of an electric vehicle are disclosed. The battery consumption prediction system of the electric vehicle predicts the battery consumption considering an overall state of the electric vehicle and an external environment of the electric vehicle. The battery consumption prediction system of the electric vehicle may be associated with an artificial intelligence module, a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.