The present invention provides a technique to accurately recognize a position of a vehicle even in a vicinity of a branch road or a junction road, neither of which is included in map data. The present invention provides a vehicle control device. When a vehicle is traveling on a road that is not described in map data, the vehicle control device is configured to determine whether or not the vehicle is traveling on a junction road or a branch road, based on a positional relationship between a position of the vehicle and a starting point of the junction road or a starting point of the branch road.

A feature mapping computer system configured to (i) receive a first localized image including a first photo and a first location; (ii) receive a second localized image including a second photo and a second location; (iii) identify a roadway feature depicted in both the first and second photos; (iv) generate, using a photogrammetry module, a point cloud based upon the first and second photos and first and second locations; (v) generate a localized point cloud by assigning a location to the point cloud based upon at least one of the first and second locations; and (vi) generate an enhanced base map that includes a roadway feature by embedding an indication of the identified roadway feature onto the localized point cloud.

The present invention relates to a position recognition method comprising the steps of: measuring a space in a first direction by means of at least one measurement device provided in a vehicle; recognizing a first marker by means of the measurement means; computing first positional information of the vehicle; acquiring map information; and specifying comprehensive positional information of the vehicle, wherein the first marker includes a coordinate value of the first marker, the first positional information is a coordinate value of the vehicle computed through recognition of the first marker, and the step of specifying the comprehensive positional information combines the first positional information of the vehicle with the map information.

A visual localization method and apparatus are provided. The method includes obtaining a captured first image, determining a first pose based on the first image and an aerial model, determining whether a ground model corresponding to the first pose exists in an aerial-ground model, and when the ground model corresponding to the first pose exists, determining a second pose based on the ground model. The aerial-ground model includes the aerial model and the ground model mapped to the aerial model, a coordinate system of the ground model is the same as a coordinate system of the aerial model, and localization accuracy of the second pose is higher than localization accuracy of the first pose. Performing fine visual localization based on the ground model can improve accuracy and a success rate of localization.

According to examples, a system for providing personalized routes may include a processor and a memory storing instructions. The processor, when executing the instructions, may cause the system to receive a user request for a personalized route wherein the user request can include at least a route origin and destination. The processor employs the user request to identify the user and retrieves the user's preferences from different recommender systems. The recommendations output by the recommender systems are ranked based on context data associated with the user request. The geographic locations associated with a predetermined number of top-ranked recommendations are obtained and a personalized route that passes through a maximum number of the geographic locations is built for a display to the user.

An information processing apparatus according to the present technology includes an imaging unit, an inertial sensor, and a control unit. The imaging unit acquires image information. The inertial sensor acquires inertial information. The control unit estimates a self location of the information processing apparatus on the basis of the image information and the inertial information, recognizes a situation of a user with the information processing apparatus, and changes a ratio of reliability between the image information and the inertial information that are to be used for estimating the self location depending on the situation.

A system and a method for supporting automated valet parking, and an infrastructure and a vehicle therefor are provided. The method for operating a vehicle which supports automated valet parking includes initializing automated valet parking and receiving, from an infrastructure, a target position which is related to the vehicle and a guide route which guides movement to the target position. Additionally, the method includes performing automated driving by the vehicle along the guide route, and measuring a position of the vehicle based on behavior information of the vehicle and environmental information, while the vehicle performs the automated driving. The environmental information includes at least one among parking lot slot information, road signs, walls, pillars, and floor markings.

A computer implemented method for determining the position of a vehicle, wherein the method comprises: determining at least one scan comprising a plurality of detection points, wherein each detection point is evaluated from a signal received at the at least one sensor and representing a location in the vehicle environment; determining, from a database, a predefined map, wherein the map comprises a plurality of elements in a map environment, each of the elements representing a respective one of a plurality of static landmarks in the vehicle environment, and the map environment representing the vehicle environment; matching the plurality of detection points and the plurality of elements of the map; determining the position of the vehicle based on the matching; wherein the predefined map further comprises a spatial assignment of a plurality of parts of the map environment to the plurality of elements, and wherein the spatial assignment is used for the matching.

Feedback for map information is based on an integrated navigation solution for a device within a moving platform using obtained motion sensor data from a sensor assembly of the device, obtained radar measurements for the platform and obtained map information for an environment encompassing the platform. An integrated navigation solution is generated based at least in part on the obtained motion sensor data using a nonlinear state estimation technique that uses a nonlinear measurement model for radar measurements. The map information is assessed based at least in part on the integrated navigation solution and radar measurements so that feedback for the map information can be provided.

A method for trajectory planning for a commercial vehicle at a traffic junction, in particular including a traffic circle, by a control unit is provided. Trafficability of a lane of the commercial vehicle within a lane width of the traffic junction is checked prior to traveling into the traffic junction, traveling through a center of the traffic junction via an alternative trajectory is checked when normal negotiating of the traffic junction is not possible, and detection and/or prediction of surrounding traffic and trajectory planning of the alternative trajectory are carried out, taking the detected and/or predicted surrounding traffic into account. Moreover, a control unit, a computer program, and a machine-readable memory medium are provided.