A method for operating a vehicle, in which a digital map of a parking facility and at least one target position in the parking facility are received by the vehicle via a communication network, positional data of one or more mobile object(s) located within the parking facility are received by the vehicle via the communication network, the vehicle navigates autonomously in the parking facility to the target position based on the digital map and the positional data of the one or the plurality of mobile object(s), and the vehicle parks itself autonomously at the target position. A device for operating a vehicle, a device and a method for operating a parking facility, and a computer program, are also described.

A system is disclosed for determining a driving direction. The system may include a memory configured to store computer-executable instructions; and at least one processor configured to execute the computer-executable instructions to obtain sensor data associated with a vehicle. The sensor data may include at least location data of the vehicle and lateral position data of the vehicle. Further, the processor is configured to execute the computer-executable instructions to identify a link associated with the sensor data, based on the location data and map data. Furthermore, the processor is configured to execute the computer-executable instructions to calculate half width data associated with the link based on the lateral position data and determine the driving direction for the vehicle based on the half width data, the lateral position data, and vehicle width data.

A system for directing a vehicle may include a processor configured to receive, from a wireless communication device, location data indicative of a current location of the vehicle and direct the vehicle to a desired destination using a first driving route. The processor may also be configured to receive, at a first time, data indicating that a new route for the vehicle is requested, and predict a location of the vehicle at a second time that will occur after the first time. The location may be one where a driver of the vehicle can safely implement instructions associated with changing the first driving route. The may further be configured to determine, based on the predicted location of the vehicle at the second time, a second driving route and prior to the second time, send instructions associated with the second driving route to the wireless communication device.

When the display is controlled by the head-up display used in the vehicle, prior to the display of the superimposed contents to be superimposed and displayed on the specific superimposed object existing in the foreground of the vehicle, the non-superimposed content which has substantially the same meaning as the superposed content to be superimposed and displayed on the foreground in a non-superimposed state on the superimposed object is superimposed and displayed on the foreground.

A guidance display system includes an AR display device and a server. The AR display device includes a display unit and a display control unit configured to display, on the display unit, an augmented reality image in which an image of a virtual object for guidance is superimposed on scenery of a real world. The server is wirelessly connected to the display device. The server includes a theme park-specific character storage unit, a 3D model extraction unit, and a transmission unit. The theme park-specific character storage unit stores character information set for a theme park. The 3D model extraction unit extracts the character of the theme park set as the destination, as a virtual object for guidance. The transmission unit transmits the image data of the extracted virtual object for guidance to the display control unit of the AR display device.

A computer-implemented method of generating and broadcasting telematics and/or image data is provided. Telematics and/or image data may be collected, with customer permission, in real-time by a mobile device (or a Telematics App running thereon) traveling within an originating vehicle. The telematics data may include acceleration, braking, speed, heading, and location data associated with the originating vehicle. The mobile device may generate an updated telematics data broadcast including up-to-date telematics data at least every few seconds; and then broadcast the updated telematics data broadcast at least every few seconds via wireless communication to another computing device to facilitate alerting another vehicle or driver of an abnormal traffic condition or event that the originating vehicle is experiencing. An amount that an insured uses or otherwise employs the telematics data-based risk mitigation or prevention functionality may be used with usage-based insurance, or to calculate or adjust insurance premiums or discounts.

Systems and methods are provided for generating trajectories for a vehicle user interface showing a driver's perspective view. Methods include generating an ego-vehicle predicted trajectory for an ego-vehicle; and generating at least one road agent predicted trajectory for a road agent that is external to the ego-vehicle. After the predicted trajectories are generated, the method continues by determining that at least two predicted trajectories overlap when displayed on the user interface showing a driver's perspective view, when displayed on the user interface showing a driver's perspective view. The method includes modifying the at least one road agent predicted trajectory to remove the overlap. The method then proceeds with updating a display of the user interface to include any modified road agent predicted trajectory. Systems include a trajectory-prediction module to execute the methods.

A road information processing method, an electronic device and a storage medium are provided, relates to the field of intelligent transportation, and may be used for the field of cloud computing or cloud. The method includes: acquiring a road image, and identifying a street lamp in the road image to obtain a street lamp identification result; associating the road image with an electronic map to obtain a road corresponding to the road image in the electronic map; and marking a street lamp attribute for the road corresponding to the road image in the electronic map based on the street lamp identification result.

A vehicle includes a first image obtainer configured to obtain an external image; a second image obtainer configured to obtain an internal image; an obstacle detector configured to detect obstacles; a controller configured to control autonomous driving based on obstacle detection information detected by the obstacle detector and image data obtained by the first image obtainer and encrypt brightness data among the image data obtained by the first and second image obtainers during the control of the autonomous driving; and a storage configured to store the encrypted brightness data.

A method for generating the at least one highway exit indicator, the method may include receiving video information and location information obtained during driving sessions of the plurality of vehicles; determining, based on the location information, multiple suspected highway exit events; selecting video information segments, wherein each selected video information segment is acquired before a suspected highway exit event and in timing proximity to the suspected highway exit event; and applying a machine learning process on at least some of the selected video information segments to find the at least one highway exit indicator.