A vehicle navigation apparatus includes a vehicle navigation unit and a route guidance control unit. The vehicle navigation unit includes a route setting unit and a navigation control unit. The route setting unit sets a route to a destination point on the basis of information on a position of a vehicle, information on a destination point, and first map information stored in a storage. The navigation control unit performs guidance on the route and controls the form of displaying the route on a display. The route guidance control unit includes at least one processor determining the driving entity of a vehicle. In a case where the at least one processor determines that the driving entity of the vehicle is the vehicle itself and the vehicle deviates from the route, the at least one processor stops the guidance until the vehicle reaches a next waypoint of the route.

A navigation device for a vehicle including a display unit, and a processor configured to determine a location of the navigation device, detect an object loaded into the vehicle by wirelessly communicating with the object, identify the detected object based on attribute information of the detected object, save a destination history of the identified object including destination information of the vehicle having the loaded identified object, and display at least one recommended destination on the display unit based on the destination history of the object in response to the identified object again being loaded into the vehicle after the destination history has been saved.

The present application discloses a method, device and system for automatic oiling of a long-distance transport vehicle. The method provided by the present application includes: obtaining, by a transport planning system at a network side, vehicle status information, transport mission information and highway port information of the vehicle before the long-distance transport vehicle starts from a highway port of departure; generating a transport plan according to the vehicle status information, the transport mission information and the highway port information, wherein the transport plan comprises at least one highway port to be stopped at, cargo quantity to be loaded at each highway port to be stopped at and oil mass to be filled at each highway port to be stopped at; and sending the transport plan to the vehicle.

An operation management device includes a plan generating section for generating a travel plan, for each of a plurality of vehicles traveling autonomously along a prescribed travel route on which are provided a plurality of stations, including at least departure timing at the stations, a communication device for transmitting to corresponding vehicles the travel plan generated by the plan generating section, and an operation monitoring section for obtaining a delay amount of the vehicles relative to the travel plan, wherein the plan generating section judges whether or not revision of the travel plan is necessary based on the delay amount obtained by the operation monitoring section, and revises and regenerates the travel plan if the revision is necessary.

Example embodiments relate to identification of proxy calibration targets for a fleet of sensors. An example method includes collecting, using a sensor coupled to a vehicle, data about one or more objects within an environment of the vehicle. The sensor has been calibrated using a ground-truth calibration target. The method also includes identifying, based on the collected data, at least one candidate object, from among the one or more objects, to be used as a proxy calibration target for other sensors coupled to vehicles within a fleet of vehicles. Further, the method includes providing, by the vehicle, data about the candidate object for use by one or more vehicles within the fleet of vehicles.

The present invention relates to a method for alerting drivers and/or autonomous vehicles of high risk scenarios. The method includes obtaining positional data of a vehicle, where the positional data is indicative of geographical position and heading of the vehicle. The method further includes obtaining environmental data of the vehicle, where the environmental data is indicative of state of the surrounding environment of the vehicle. The method includes determining, by means of trained model, accident intensity for upcoming road portion for the vehicle, the trained model being configured to determine accident intensity associated with the upcoming road portion based on the obtained environmental data and the obtained positional data. Then, if the determined accident intensity exceeds threshold, the method comprises transmitting signal indicating approaching high risk scenario to a Human-Machine-Interface, HMI, of the vehicle and/or to a control system of the vehicle.

Systems, methods, tangible, non-transitory computer-readable media, and devices for configuration of a vehicle compartment are provided. For example, a method can include receiving, by a computing system, occupancy data based in part on one or more states of one or more objects. Based in part on the occupancy data and compartment data, a compartment configuration can be determined for one or more compartments of an autonomous vehicle. The compartment data can be based in part on a state of the one or more compartments. The compartment configuration can specify one or more spatial relations of one or more compartment components associated with the one or more compartments. One or more configuration signals can be generated based in part on the compartment configuration to control the one or more compartments of the autonomous vehicle.

An approach is provided for generating/breaking vehicle paths on a limited graph area. The approach, for example, determining an expected frequency of location data collected from a sensor of a vehicle traveling on a roadway, wherein the location data include a plurality of probe points that are time-sequenced. The approach also involves detecting an exit or an entry of the vehicle on the roadway based on comparing the expected frequency to an observed frequency of the location data on at least one portion of the roadway. The approach further involves initiating an identification, a creation, a breaking, or a combination thereof of a path constructed from the location data based on the detecting of the exit or the entry of the vehicle. The approach further involves providing the path as an output.

An electronic device may include: a communication module comprising communication circuitry, a processor operatively coupled to the communication module, and a memory storing instructions operatively coupled to the processor. The instructions, when executed, may cause the processor to: obtain driving route traffic information of a first driving route of a vehicle connected to the electronic device, analyze the first driving route traffic information and determine a traffic event occurrence requiring a change in a driving route or a driving lane of the vehicle connected to the electronic device, based on the traffic event occurring, determine a severity level of the traffic event based on a driving time increase and an accident risk, and control a display device to display at least one of line change information, lane change information and a traffic sign corresponding to the severity level on a display device.

A vehicle display control device includes: a map information acquisition unit that acquires map data around a vehicle; and an item display unit that overlaps a virtual item on a predetermined travel road on the map data and that displays the virtual item in a display area in a vehicle cabin. The item display unit overlaps and displays the virtual item on the map data, thereby guiding a driver of the vehicle toward the travel road on which the virtual item is displayed.