Abstract: An intelligent intersection method includes receiving raw sensor data from a sensors mounted relative to a street intersection. The received raw sensor data is fused to create at least one object sensed by the sensors. An object list is created or updated with information pertaining to created object, the object list serving as an environmental model. One or more intelligent intersection functions is subsequently performed based in part upon the environmental model. The method may further include determining whether the created object is associated with first data defining a topology of at least one of a plurality of lanes, a crosswalk or a sidewalk corresponding to the intersection. Upon an affirmative determination that the created object is associated with the first data, the method classifies the created object as a vehicle or a pedestrian for use as an attribute of the created object in the object list.

Abstract: Systems and methods are disclosed for more efficiently and quickly utilizing digital aerial images to generate models of a site. In particular, in one or more embodiments, the disclosed systems and methods capture a plurality of digital aerial images of a site. Moreover, the disclosed systems and methods can cluster the plurality of digital aerial images based on a variety of factors, such as visual contents, capture position, or capture time of the digital aerial images. Moreover, the disclosed systems and methods can analyze the clusters independently (i.e., in parallel) to generate cluster models. Further, the disclosed systems and methods can merge the cluster models to generate a model of the site.

Abstract: Systems and methods are disclosed for more efficiently and quickly utilizing digital aerial images to generate models of a site. In particular, in one or more embodiments, the disclosed systems and methods capture a plurality of digital aerial images of a site. Moreover, the disclosed systems and methods can cluster the plurality of digital aerial images based on a variety of factors, such as visual contents, capture position, or capture time of the digital aerial images. Moreover, the disclosed systems and methods can analyze the clusters independently (i.e., in parallel) to generate cluster models. Further, the disclosed systems and methods can merge the cluster models to generate a model of the site.