Abstract: Systems and methods for verifying mapping information are provided. In some aspects, a method includes receiving control data acquired in an area of interest, the control data comprising a plurality of control points, and receiving mapping data associated with the area of interest, the mapping data comprising a plurality of mapping points that correspond to the plurality control points. The method also includes applying a localization algorithm to the control data to generate a control track, and applying the localization algorithm to the mapping data to generate a mapping track. The method further includes comparing the control track and the mapping track to determine a difference.

Abstract: Systems and methods for verifying mapping information are provided. In some aspects, a method includes receiving control data acquired in an area of interest, the control data comprising a plurality of control points, and receiving mapping data associated with the area of interest, the mapping data comprising a plurality of mapping points that correspond to the plurality control points. The method also includes applying a localization algorithm to the control data to generate a control track, and applying the localization algorithm to the mapping data to generate a mapping track. The method further includes comparing the control track and the mapping track to determine a difference.

Abstract: Systems and methods for identifying data suitable for mapping are provided. In some aspects, the method includes receiving one or more images acquired in an area of interest, and selecting at least two ground control points within a field of view of the one or more images. The method also includes determining perceived locations for the at least two ground control points using the one or more images, and computing pairwise distances between the perceived locations and predetermined locations of the at least two ground control points. The method further includes comparing corresponding pairwise distances to identify differences therebetween, and determining a suitability of the one or more images for mapping based on the comparison.

Abstract: Systems and methods for identifying data suitable for mapping are provided. In some aspects, the method includes receiving one or more images acquired in an area of interest, and selecting at least two ground control points within a field of view of the one or more images. The method also includes determining perceived locations for the at least two ground control points using the one or more images, and computing pairwise distances between the perceived locations and predetermined locations of the at least two ground control points. The method further includes comparing corresponding pairwise distances to identify differences therebetween, and determining a suitability of the one or more images for mapping based on the comparison.

Abstract: An approach is provided for determining the quality of camera pose data. The approach, for example, involves identifying camera pose data for a camera used to capture an image. The approach further involves processing the image to determine a pixel location of features visible in the image, wherein each feature has a known physical location (e.g., obtained using survey techniques or equivalent). The approach further involves determining a camera physical location of the camera based on the camera pose data. The approach further involves determining an physical location of the image plane based on the camera pose data and/or camera parameters (e.g., intrinsic camera parameters). The approach further involves projecting a ray from the camera physical location thorough the image plane physical location corresponding to the pixel location determined for each feature, and computing a minimum distance between the projected ray and the known physical location of each feature.

Abstract: An approach is provided for automatically selecting the most appropriate sensor system for high-definition map feature accuracy and reliability specifications. The approach, for example, involves selecting at least one survey point that has a known physical location. The approach also involves initiating a plurality of passes to capture a plurality of images of the at least one survey point using a sensor system. For each pass, the approach further involves calculating an estimated location of the at least one survey point based on the plurality of images and calculating error data based on the estimated location and the known location. The approach also involves generating an error curve with respect to a number of the plurality of passes based on the error data for said each pass. The approach further involves providing an output indicating a target number of passes to meet an error specification based on the error curve.

Abstract: An approach is provided for automatically selecting the most appropriate sensor system for high-definition map feature accuracy and reliability specifications. The approach, for example, involves selecting at least one survey point that has a known physical location. The approach also involves initiating a plurality of passes to capture a plurality of images of the at least one survey point using a sensor system. For each pass, the approach further involves calculating an estimated location of the at least one survey point based on the plurality of images and calculating error data based on the estimated location and the known location. The approach also involves generating an error curve with respect to a number of the plurality of passes based on the error data for said each pass. The approach further involves providing an output indicating a target number of passes to meet an error specification based on the error curve.

Abstract: An approach is provided for determining the quality of camera pose data. The approach, for example, involves identifying camera pose data for a camera used to capture an image. The approach further involves processing the image to determine a pixel location of features visible in the image, wherein each feature has a known physical location (e.g., obtained using survey techniques or equivalent). The approach further involves determining a camera physical location of the camera based on the camera pose data. The approach further involves determining an physical location of the image plane based on the camera pose data and/or camera parameters (e.g., intrinsic camera parameters). The approach further involves projecting a ray from the camera physical location thorough the image plane physical location corresponding to the pixel location determined for each feature, and computing a minimum distance between the projected ray and the known physical location of each feature.