The disclosed technology provides solutions for facilitating the selection of a parking space by a user of a parking application. A process of the disclosed technology can include steps for monitoring sensor data and location data associated with a user device, and retrieving, based on the location data associated with the user device, listing data associated with one or more parking spaces. Additionally, the process of the disclosed technology can further include steps for capturing image data that includes at least a portion of the one or more parking spaces, displaying the image data on a display of the user device, and overlaying one or more graphical objects onto the image data, based on the orientation of the user device. In some aspects, the one or more graphical objects are based on the listing data.

A safety driving assistant system according to one aspect of the present disclosure includes a server, and a target vehicle receiving safety driving assistance. The server includes: an acquisition unit configured to acquire, from probe vehicles, probe information including information of a time within a predetermined time period and a position of the corresponding probe vehicle at the time; and a tail position calculation unit configured to calculate, based on the probe information acquired by the acquisition unit, a traffic congestion tail position located upstream of a branch point at which a road branches into a plurality of lanes. The safety driving assistant system further includes a recommendation section calculation unit configured to calculate a lane-change recommendation section in which a lane change is recommended, based on the traffic congestion tail position calculated by the tail position calculation unit. The target vehicle includes a safety driving assistant unit configured to execute a safety driving assistant process for the target vehicle, based on the lane-change recommendation section calculated by the recommendation section calculation unit.

Vehicular movement detection systems and methods are disclosed. A computing device is configured to monitor sensor data and location data associated with a first user device including one or more sensors, and monitor traffic data associated with a location of the first user device based on the sensor data and location data. In response to the data, the computing device determines whether to provide a user-selectable message to the first user device based on a vehicle speed, proximity to a destination, and vehicle speed relative to traffic speed. The user-selectable message comprises a prompt configured to transmit a search request for a listing location. In response to the determination, the user-selectable message is provided to the first user device. In response to receiving a search request, the computing device is configured to transmit instructions to the first user device to direct the first user device to a first listing location.

Aspects of the present disclosure include a navigation system and computer-implemented methods for proactively re-routing vehicles based on an analysis of input component data obtained from the navigation-enabled devices. The navigation system scores the input component data to obtain a measure of frustration (e.g., a feeling of being upset or annoyed) of the user of the navigation-enabled device. The navigation system may provide a detour suggestion for display on the navigation-enabled device to persuade the user of the device to direct their vehicle to depart from its current location or route in an effort to remove the vehicle from traffic, and thereby reduce the frustration level of the user. The detour suggestion may include an alternative route to the original destination, or an alternative destination.

A system for tracking cumulative motor vehicle risk includes a satellite navigation system receiver disposed within a motor vehicle and configured to determine a present location of the motor vehicle. A computer processor receives the determined present location of the motor vehicle from the satellite navigation system receiver and generates a traveled route therefrom. A first computer server receives a plurality of motor vehicle claims records, determines a plurality of motor vehicle accident locations from the plurality of motor vehicle claims records, and generates a motor vehicle accident heat map from the plurality of motor vehicle accident locations. A second computer server determines a cumulative risk exposure of the motor vehicle based on the generated traveled route and the generated motor vehicle accident heat map.

The driving assistance device acquires, from an autonomous driving controller that determines an action of a vehicle during autonomous driving of the vehicle, action information indicating a first action that the vehicle is caused to execute. The driving assistance device acquires, from a detector that detects a surrounding situation and a travel state of the vehicle, detection information indicating a detection result. The driving assistance device determines a second action which is executable in place of the first action, based on the detection information. The driving assistance device generates a first image representing the first action and a second image representing the second action. The driving assistance device outputs the first image and the second image to a notification device such that the first image and the second image are displayed within a fixed field of view of a driver of the vehicle.

A method or system for controlling a vehicle having auto stop and auto start functions includes selectively inhibiting or disabling the auto stop or auto start functions in response to a detected vehicle position relative to an automatically learned vehicle route. The vehicle route is learned in response to previous drive cycles.

A method or system for controlling a vehicle having auto stop and auto start functions includes selectively inhibiting or disabling the auto stop or auto start functions in response to a detected vehicle position relative to an automatically learned vehicle route. The vehicle route is learned in response to previous drive cycles.

A route-quality learning method, system, and computer program product include collecting a first route for a trip recommended from a first third-party application, collecting a second route for the trip recommended from a second third-party application, and after the trip is completed, estimating best alternatives given completion data of the trip and using the first third-party application and the second third-party application recommendation.

An information system includes an in-vehicle terminal that is mounted on a host vehicle and a server that communicates with the in-vehicle terminal. The server includes a running history DB in which a running history of the host vehicle is stored for each driver, a driving skill-level determination unit, a driving skill-level DB in which a driving skill-level determined by the driving skill-level determination unit is stored, and a distribution information control unit that distributes driving assistance information based on the driving skill-level stored in the driving skill-level DB to the in-vehicle terminal. The driving skill-level determination unit determines a driving skill-level of a driver based on the running history stored in the running history DB and a driving skill element definition list representing a difficulty level of driving predefined for each driving skill element.