A user is allowed to intuitively visually recognize information that is beneficial to the user.

There is provided a control device including a control unit configured to control presentation of information using a presentation unit, in which the control unit causes the presentation unit to present beneficial information that is beneficial to a user as the information. In addition, there is provided a presentation system including: a presentation unit configured to perform presentation of information to a user; and a control unit configured to control of the presentation of information using the presentation unit, in which the control unit causes the presentation unit to present beneficial information that is beneficial to the user as the information.

In a vehicle control system, when an occupant visually recognizes a signboard and signboard course information is included in signboard information corresponding to the signboard, the signboard information is displayed on a display device. When the signboard course information out of the signboard information is visually recognized continuously, a control device generates course information based on the signboard course information. The generated course information is output to a vehicle control ECU, and course change processing based on the course information is performed by the vehicle control ECU.

The present invention extends to methods, systems, and computer program products for formulating lane level routing plans. In general, aspects of the invention are used in motorized vehicles to guide a driver to a terminal vehicle configuration according to a lane level routing plan that balances travel time with routing plan robustness. A lane level routing plan can be based on terminal guidance conditions (e.g., exiting a highway in the correct off ramp lane), statistical patterns of lanes themselves, current vehicle state, and state of the local environment near the vehicle. Lane level routing plans can be communicated to the driver with audio, visual, and/or haptic cues. Lane level routing plans can be revised online and in (essentially) real-time in response to changing conditions in the local environment (e.g., a trailing vehicle in a neighboring lane has decided to increase speed).

Park monitoring methods, park monitoring systems, and computer-readable storage media are provided. A method includes: determining a first path from a current position of a first object to a first position; generating a 3D virtual image of a surrounding environment when the first object is moving along the first path based on a perspective of the first object; and when the first object is located at the first position, displaying a real image of the first position.

An advanced driver assistance system configured to implement one or more automotive V2V applications designed to assist a driver in driving a Host Motor-Vehicle. The advanced driver assistance system is configured to be connectable to an automotive on-board communication network to communicate with automotive on-board systems to implement one or different automotive functionalities aimed at assisting the driver in driving the Host Motor-Vehicle, controlling the Host Motor-Vehicle, and informing the driver of the Host Motor-Vehicle of the presence of Relevant Motor-Vehicles deemed to be relevant to the driving safety of the Host Motor-Vehicle. The advanced driver assistance system comprises an automotive V2V communication system operable to communicate with automotive V2V communication systems of Remote Motor-Vehicles via V2V messages containing motor-vehicle position-related, motion-related, and state-related data. The advanced driver assistance system is further configured to receive V2V messages transmitted by V2V communications systems of Remote Motor-Vehicles; identify from among the Remote Motor-Vehicles in communication with the Host Motor-Vehicle, Nearby Motor-Vehicles that may represent potential threats to the driving safety of the Host Motor-Vehicle, based on motor-vehicle position-related, motion-related, and state-related data in received V2V messages and on motor-vehicle position-related, motion-related, and state-related data of the Host Motor-Vehicle; and process the data contained in the V2V messages received from the Nearby Motor-Vehicles to identify from among the Nearby Motor-Vehicles Relevant Motor-Vehicles that may be relevant to the automotive functionalities aimed at assisting the driver in driving the Host Motor-Vehicle, controlling the Host Motor-Vehicle, at informing the driver of the Host Motor-Vehicle of the presence of Relevant Motor-Vehicles deemed to be relevant to the driving safety, and dispatch on the automotive on-board communication network a list of virtual objects containing information on the Host Motor-Vehicle and on the Relevant Motor-Vehicles, for exploitation by one or more of the functionalities aimed at assisting the driver in driving the Host Motor-Vehicle, controlling the Host Motor-Vehicle, and informing the driver of the Host Motor-Vehicle of the presence of the Relevant Motor-Vehicles deemed to be relevant to the driving safety of the Host Motor-Vehicle, or exploit the information on the Host Motor-Vehicle and on the Relevant Motor-Vehicles in the implementation of one or more of the automotive functionalities aimed at assisting the driver in driving the Host Motor-Vehicle, controlling the Host Motor-Vehicl

Systems and methods for generating calm or quiet routes are provided. When a user requests navigation directions and indicates a preference for a calm route, a plurality of routes between the origin location and the destination location requested by the user may be identified. Historical sensor data (e.g., including heart rate data, exterior vehicle noise level data, accelerometer data) and traffic data associated with route segments of each of the routes may be analyzed to identify indications of calmness associated with each route segment. Current traffic data associated with the route segments may be analyzed to assign a traffic score representing a level of congestion along the segment and corresponding to a level of insurance risk associated with traversing the segment. Based at least in part upon the indications of calmness and the traffic score associated with each route segment, a route may be selected and presented to the user.

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.

An ego vehicle can be assisted when parking in a parking area. One or more sensors can be configured to acquire environment data of at least a portion of an external environment of the ego vehicle. The environment data can include at least a portion of the parking area. Parking availability data can be acquired for at least a portion of the parking area. The parking availability data can include a plurality of parking spaces and one or more vehicles parked in one or more of the parking spaces. The parking availability data can further include one or more attributes of the vehicles parked in the parking spaces. A current location of the ego vehicle within the parking area can be determined based on at least the parking availability data and the environment 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.

A roadway complexity awareness system for a vehicle, comprising a processor, an augmented reality interface disposed in communication with the processor, and a memory for storing executable instructions. The processor is programmed to execute the instructions to receive roadway status information from an infrastructure processor associated with a roadway, obtain, from a vehicle sensory system, sensory information indicative of roadway route complexity, and determine a likelihood of roadway route complexity based on the roadway status information and the sensory information. The system may select an augmented reality message indicative of the roadway route complexity, and generate the augmented reality message using an augmented reality interface device, wherein the augmented reality message is visible to a vehicle operator.