Abstract: A system for navigating a host vehicle relative to a road segment may receive object detection information relating to detection of one or more objects represented in a first image frame captured by at least one camera onboard the host vehicle; receive a second image frame captured by the at least one camera onboard the host vehicle; receive a portion of a map representative of the road segment; provide to a trained model the object detection information, the second image frame, and a representation of at least a portion of the at least one drivable path, wherein the trained model is configured to identify at least one target vehicle represented in the second image frame based, at least in part, on inferences relative to the object detection information, the second image frame, and the representation of at least a portion of the at least one drivable path.

Abstract: A navigation system may receive a captured image acquired by a camera onboard a host vehicle; determine a localized position of the host vehicle relative to a map representative of the road segment; generate based on the localized position of the host vehicle and three-dimensional location information associated with the plurality of topography features, a two-dimensional image representation of a plurality of road topography features; analyze the captured image and the two-dimensional image representation and determine three-dimensional information for at least one object represented in the captured image, but not represented in the map representative of the road segment, based on the three-dimensional location information associated with the plurality of topography features included in the map; determine, based on the three-dimensional information for the at least one object, at least one navigational action for the host vehicle; and cause the host vehicle to implement the at least one navigational action.

Abstract: In one implementation, a method includes receiving at least one image captured by a camera of a host vehicle from an environment of the host vehicle; analyzing the at least one image to identify a region of interest; selecting a portion of the at least one image based on the region of interest; receiving map information associated with the environment of the host vehicle; providing the portion of the at least one image and the map information to a trained system; and receiving an output provided by the trained system. The output includes an identifier of an object in the environment of the host vehicle and location information for the object relative to the map information. The method further includes causing the host vehicle to initiate at least one navigational action based on the identifier of the object and the location information for the object.