A vehicular driver monitoring system includes an interior rearview mirror assembly disposed in a vehicle and including a mirror reflective element. A camera is disposed at the interior rearview mirror assembly and views a driver sitting at a driver seat of the equipped vehicle. The camera is operable to capture image data. A control includes a vision system-on-a-chip image processor that processes image data captured by the camera. The control, via processing at the vision system-on-a-chip image processor of image data captured by the camera, determines driver movement. The vehicular driver monitoring system generates an output responsive at least in part to the determined driver movement.

To provide personalized data for display on a map, a server device obtains location data for a user and identifies locations that are familiar to the user based on the frequency and recency in which the user visits the locations. The server device then provides the familiar locations in search results/suggestions and annotates the familiar locations with a description of a relationship between the familiar location and the user. The server device also includes the familiar locations as landmarks for performing maneuvers in a set of navigation instructions. Furthermore, the server device provides a familiar location as a frame of reference on a map display when a user selects another location nearby the familiar location. Moreover, the server device includes a familiar location as an intermediate destination when the user request navigation directions to a final destination.

In some examples, a system may receive location information. The system may determine at least one landmark based on the location information. In addition, the system may determine one or more current conditions for the at least one landmark. Further, the system may receive sensor configuration information. Based on the sensor configuration information and the one or more current conditions, the system may determine the detectability of the at least one landmark.

The present disclosure relates to a method for determining a vehicle pose, predicting a pose (x.sub.k, y.sub.k, θ.sub.k) of vehicle on a map based on sensor data acquired by a vehicle localization system, transforming a set of map road references of a segment of a digital map from a global coordinate system to an image-frame coordinate system of a vehicle-mounted camera based on map data and predicted pose of the vehicle. The transformed set of map road references form a set of polylines in image-frame coordinate system. Identifying a set of corresponding image road reference features in an image acquired by vehicle mounted camera, where each identified road references feature defines a set of measurement coordinates (x.sub.i, y.sub.i) in image-frame. Projecting each of identified set of image road reference features onto formed set of polylines in order to obtain a set of projection points.

Described is a travel-based geo-paired information system. The system includes a server having a memory storing geo-paired information that includes content regarding or related to a point of interest. The system also includes a user computing device coupled to the server. The server may be programmed to receive location information from the user computing device. The server may also be programmed to automatically process the location information and determine whether a location of the user computing device is within a predetermined distance from a point of interest geolocation. Then the server may automatically find and retrieve geo-paired information corresponding to or paired to the point of interest geolocation and automatically deliver to the user computing device, for presenting, the content related to the point of interest corresponding to the location of the user computing device.

A system determines a set of POIs that are visible from a location. The system stores a visibility map for each POI. A visibility map includes data about locations or regions from which the associated POI is visible. The data may include information about how visible the POI is from different locations. The system divides a region into road bins (e.g., geofences a route passes through). Each road bin is associated with a set of POIs that are visible from locations within the road bin. When the system receives a request from a user device for information about visible POIs, the system determines a road bin that corresponds to the location of the user device, identifies POIs associated with the road bin, and transmits information about the set of POIs to the user device.

A method, apparatus and computer program product are provided. The method comprises: receiving a request for a route for a user between an origin and a destination; identifying a route for the user between the origin and the destination using a user-subjective-navigational-marker-perception profile for the user and according to a predetermined suitability criterion, wherein the user-subjective-navigational-marker-perception profile comprises data about the user's subjective perception of navigational markers, and wherein the identified route includes navigational markers along the route which are flagged based on the user-subjective-navigational-marker-perception profile; and providing the identified route for user navigation.

In accordance with an aspect of the present disclosure, there is provided a landmark position estimating method performed by a landmark position estimating apparatus. The method comprises, identifying a first type landmark and a second type landmark from an image, captured by an image capturing device of a vehicle, including various landmarks on a driving route, estimating a three-dimensional position of the identified first type landmark based on a plurality of the images on which the first type landmark is identified and a digital map including a driving area of the vehicle, and estimating a position of the identified second type landmark on a virtual plane including the three-dimensional position of the first type landmark.

A method for determining routes for test drives of autonomous vehicles, wherein a plurality of test features are to be encountered or avoided on the routes. The method includes determining a geographical area in which a test drive is to take place, determining a starting point, determining a destination point, determining the plurality of test features, which are relevant for the test drive, creating a logical expression which places the plurality of test features in a logical relationship to one another, determining, at least one route which are located within the geographical area, which have the starting point and the destination point and which satisfy the logical expression, using a map material for the area and positions or areas where the plurality of test features are located, and displaying a representation of the determined routes for a user for the purpose of selecting a selected route.

An embodiment vehicle includes a user interface configured to guide a route to a destination and receive a user input and a controller configured to determine whether a highlight mark for a point of interest corresponding to the destination is set, control the user interface to display a pop-up message according to the determination result, receive the user input in response to the pop-up message, and set the highlight mark for the point of interest based on the user input.