A localization and mapping method is for localizing and mapping a moving apparatus in a moving process. The localization and mapping method includes an image capturing step, a feature point extracting step, a flag object identifying step, and a localizing and mapping step. The image capturing step includes capturing an image frame at a time point of a plurality of time points in the moving process by a camera unit. The flag object identifying step includes identifying whether the image frame includes a flag object among a plurality of the feature points in accordance with a flag database. The flag database includes a plurality of dynamic objects, and the flag object is corresponding to one of the dynamic objects. The localizing and mapping step includes performing localization and mapping in accordance with the image frames captured and the flag object thereof in the moving process.

An approach is provided for pattern-based map matching of a probe trace to a digital map. The approach involves querying the digital map for a set of road links within a threshold distance of a probe point. The approach also involves determining a match starting point for each road link of a set of road links. The approach further involves selecting a sampled probe point from the probe trace. The approach also involves generating one or more patterns for said each road link based on the match starting point, the sampled probe point, the topology polyline, or a combination thereof. The approach further involves selecting a matched road link from among the set of road links based on the one or more patterns. The probe point is then snapped to the matched road link.

The present disclosure relates to a route search system including a route search apparatus that communicates with a mobile terminal. The route search apparatus includes: a communication unit that receives, from the mobile terminal, a search request including identification information of a user, and transmits a search result corresponding to the search request to the mobile terminal of the user; and a control unit that executes a search process for a multimodal route that includes at least one of a pedestrian route, a non-public route, and a public route, in accordance with the received search request, and causes the communication unit to transmit the multimodal route as a search result. The control unit causes a passage schedule of the at least one route, and identification information, of traveling means used for traveling along the at least one route, which is associated with the identification information of the user, to be included in a data content of the multimodal route.

Systems and methods for navigating a host vehicle. The system may perform operations including receiving, from an image capture device, at least one image representative of an environment of the host vehicle; analyzing the at least one image to identify an object in the environment of the host vehicle; determining a location of the host vehicle; receiving map information associated with the determined location of the host vehicle, wherein the map information includes elevation information associated with the environment of the host vehicle; determining a distance from the host vehicle to the object based on at least the elevation information; and determining a navigational action for the host vehicle based on the determined distance.

A system and method for large-scale lane marking detection using multimodal sensor data are disclosed. A particular embodiment includes: receiving image data from an image generating device mounted on a vehicle; receiving point cloud data from a distance and intensity measuring device mounted on the vehicle; fusing the image data and the point cloud data to produce a set of lane marking points in three-dimensional (3D) space that correlate to the image data and the point cloud data; and generating a lane marking map from the set of lane marking points.

The present disclosure discloses a map display method performed at a terminal. The method includes: obtaining a real scene image of a current location and target navigation data of navigation from the current location to a destination; determining, according to the current location and the target navigation data, virtual navigation prompt information to be overlaid in the real scene image; determining, according to a device configuration parameter of a target device capturing the real scene image, a first location on which the virtual navigation prompt information is overlaid in the real scene image; performing verification detection on the current device configuration parameter; and overlaying the virtual navigation prompt information on the first location when the current device configuration parameter passes through the verification detection. According to the present disclosure, an AR technology is applied to the navigation field so that map display manners are more diverse and diversified.

A system, method, and computer-readable medium having instructions stored thereon to enable an ego vehicle having an autonomous driving function to estimate and traverse a curved segment of highway utilizing radar sensor data. The radar sensor data may comprise stationary reflections and moving reflections. The ego vehicle may utilize other data, such as global positioning system data, for the estimation and traversal. The estimation of the curvature may be refined based upon a lookup table or a deep neural network.

An approach is provided for an asymmetric evaluation of polygon similarity. The approach, for instance, involves receiving a first polygon representing an object depicted in an image. The approach also involves generating a transformation of the image comprising image elements whose values are based on a respective distance that each image element is from a nearest image element located on a first boundary of the first polygon. The approach further involves determining a subset of the plurality of image elements of the transformation that intersect with a second boundary of a second polygon. The approach further involves calculating a polygon similarity of the second polygon with respect the first polygon based on the values of the subset of image elements normalized to a length of the second boundary of the second polygon.

A server includes a feature point position estimation section that estimates positions of feature points of a plurality of respective input maps if a position correction section has failed in position correction for an input map, an accumulated data generation section that accumulates the positions of the feature points of the plurality of respective input maps to generate accumulated data, a convergence determination section that determines whether the positions of the feature points have converged based on the accumulated data, a difference data generation section that generates, if it is determined that the positions of the feature points have converged, difference data from the positions of the feature points that have converged, and a difference data reflection section that reflects the difference data in the reference map to update the reference map.

An apparatus for updating a map detects a feature in an area around a vehicle traveling on a road from situation data representing the situation around the vehicle, and updates a lane network representing a connection relationship between lanes included in road sections into which the road is divided. The lane network is stored in a storage unit and updated to match a connection relationship between lanes indicated by the detected feature.