Based on position information indicating a position of a vehicle on a map, whether the vehicle has arrived at an entrance of an area in a vicinity of a destination of the vehicle where road links do not exist is determined, a history of the vehicle having parked in the area is stored as parking information, the parking information is referenced when it is determined that the vehicle has arrived at the area, and guidance information is output as information which guides the vehicle based on recommendation information and which includes at least a parking position in the area.

A drowsiness sign notification system applied to a vehicle includes a driver monitor and a controller. The driver monitor detects a driver state being a state of a driver of the vehicle. The controller executes a drowsiness sign determination process that determines whether or not the driver shows a drowsiness sign based on the driver state. When it is determined that the driver shows the drowsiness sign and an activation condition is satisfied, the controller executes rest area informing process that informs the driver of a rest area. The activation condition of the rest area informing process is set from a viewpoint of a relationship between a location of the rest area and a target route of the vehicle, or an expected time required for the vehicle to reach the rest area.

Systems, devices, apparatuses, components, methods, and techniques for building customized media programs for a specified duration are provided. An example media-playback device for generating customized media programs for a route to a specified duration includes a user preferences engine to determine a user's listening preferences, a duration engine to determine a duration of the route, and a duration-based media program engine for building a playlist of news and entertainment media content based on the duration of the route and the preferences of the user.

Disclosed are methods and systems for providing last mile navigation. In an example, the system may determine that a vehicle has arrived at or near the destination and store the destination in memory. The system may determine the vehicle is in a first parked state at a first location and store the first location as a parked position. The system may determine the vehicle is in a second parked state at a second location within a predetermined time period after the first park state and store the second location as the parked position. The system may determine the vehicle is parked at a parked location after the predetermined time period has ended. Once determined that the vehicle is at the parked location, the system may transmit last mile navigation information associated with the destination and the parked location to a mobile device.

One or more techniques and/or systems are provided for parking space routing. For example, parking data for a parking region, such as a parking lot, may be obtained from one or more data sources (e.g., vehicle sensor data, a parking lot camera, parking meter transaction data, etc.). Routes from a current location of a vehicle to available parking spaces within the parking region may be computed. The routes may be ranked based upon various criteria, such as convenience, congestion, travel time, travel distance, a parking space fill order, etc. A route, having a rank above a threshold (e.g., a highest ranked route), may be provided to a driver of the vehicle, such as through a vehicle navigation unit, a mobile device, a wearable device, etc. The route may be provided to autonomous driving functionality of the vehicle for automatic routing and navigation of the vehicle to the parking space.

In certain embodiments, a vehicle may obtain a video stream via a camera system of the vehicle. The video stream may be processed to extract one or more feature vectors from the video stream. Based on the feature vectors extracted from the video stream, vehicle description information related to one or more parked vehicles in the parking area may be determined. Space information indicating locations of the parked vehicles relative to available parking spaces in the parking area may also be determined based on the feature vectors extracted from the video stream. A mapping of the parking area may then be generated based on the vehicle description information and the space information.

A server device includes a support information generation unit, a condition determination unit, and a resource calculation unit. The support information generation unit generates support information for each support-provided area using information from a communication terminal. The condition determination unit determines a support information generation condition being a condition concerning the support information to be generated by the support information generation unit, based on area situation information representing a situation thereof. The resource calculation unit calculates, based on the support information generation condition, amounts of calculation resource and amounts of communication resource of each support-provided area not to cause a sum of the amounts of calculation resource required in each support-provided area and a sum of the amounts of communication resource for use between the server device and a mobile terminal, to exceed total calculation/communication resource upper limit values available in all the support-provided areas.

Aspects relate to systems and methods for mapping a parking area for autonomous parking. An exemplary method includes receiving a point of interest designator for a point of interest, a drop-off location designator for a drop-off location, a parking location designator for a parking location, and a parking path designator for a parking path between the drop-off location and the parking location, receiving survey data of the point of interest from a remote device having at least a locating sensor, wherein survey data includes a drop-off geofence for the drop-off location, a parking geofence for the parking location, and a parking waypath for the parking path, and generating a parking map for the point of interest, wherein the parking map includes the drop-off location designator, the parking location designator, the parking path designator, the drop-off geofence, the parking geofence, and the parking waypath.

A mobile apparatus receives a route response comprising an encoded route and one or more delay encoding data structures. The delay encoding data structures are probabilistic data structures configured to not provide false negatives. The mobile apparatus determines a decoded route based on the encoded route and a mobile version of a digital map; determines an expected traffic delay for at least one adjacent traversable map element (TME) of the decoded route based on the one or more delay encoding data structures; and performs one or more navigation functions based at least on the expected traffic delay for the at least one adjacent segment of the decoded route. An adjacent TME is a TME of the digital map that intersects the decoded route and is not a TME of the decoded route.

A method for facilitating real-time sharing of location over the internet of available parking and other points of interest among a plurality of users having a plurality of user computing devices currently located at or arriving at a target area via a server connected to the internet. A computer system to improve, simplify, and facilitate real-time sharing of location over the internet of available parking and other points of interest among a plurality of users having a plurality of user computing devices currently located at or arriving at a target area via a server connected to the internet.