Abstract: A method, a system, and a computer program product are provided for generating navigation information in a region. The method comprises obtaining sensor data and vehicle communication data associated with a vehicle, and generating a local map associated with the surrounding of the vehicle based on the sensor data and the vehicle communication data. The sensor data comprises a first information associated with one or more vehicles in vicinity of the vehicle. The first information may be obtained using a first machine learning model. The method also includes transmitting the local map associated with the surrounding of the vehicle to a mapping platform and, processing the local map, by using a second machine learning model stored in the mapping platform, and generating the navigation information in the region, based on the output data associated with processing of the local map associated with the surrounding of the vehicle.

Abstract: An apparatus includes at least one memory, a feature extractor, an image matcher, and a mapper. The memory stores images corresponding to a geographic area, and the images include image descriptors adaptable into a spatial relationship based on positional information. The feature extractor is configured to select a set of neighboring images from the images using a pairing factor. The image matcher is configured to calculate point matches based on the set of neighboring images and the positional information. The mapper is configured to construct a three-dimensional point cloud for at least a portion of the geographic area, from the point matches, using the image descriptors from the set of neighboring images.