Abstract: Systems, devices, products, apparatuses, and/or methods for generating a road edge boundary for an edge of a road in an AV map for controlling an autonomous vehicle on a roadway by obtaining map data associated with a map of a geographic location including a roadway associated with one or more locations of one or more vehicles in the roadway during one or more traversals of the roadway, determining one or more prediction scores based on the map data, including one or more predictions of whether the plurality of elements include road edge boundary locations, and generating in the map a road edge boundary based on the one or more prediction scores.

Abstract: Systems, devices, products, apparatuses, and/or methods for generating a road edge boundary for an edge of a road in an AV map for controlling an autonomous vehicle on a roadway by obtaining map data associated with a map of a geographic location including a roadway associated with one or more locations of one or more vehicles in the roadway during one or more traversals of the roadway, determining one or more prediction scores based on the map data, including one or more predictions of whether the plurality of elements include road edge boundary locations, and generating in the map a road edge boundary based on the one or more prediction scores.

Abstract: Systems, devices, products, apparatuses, and/or methods for identifying a speed bump for an autonomous vehicle on a roadway by determining at least one beginning location in the one or more subsets of the plurality of subsets associated with a greatest positive change or a greatest negative change in the one or more parameters and at least one ending location in the one or more subsets of the plurality of subsets associated with the other of the greatest positive change or the greatest negative change in the one or more parameters, and identifying at least one bump or depression in the roadway based on the at least one beginning location and the at least one ending location.

Abstract: Systems, devices, products, apparatuses, and/or methods, for detecting a missing traffic face, including: obtaining sensor data that includes a plurality of images associated with a geographic location including a roadway and associated with a plurality of image capture locations in the geographic location, determining in a subset of images of the plurality of images, a plurality of image areas associated with at least one predicted traffic face, determining a plurality of rays that project through 3-D spaces of the geographic location associated with the plurality of image areas from a subset of image capture locations of the plurality of image capture locations associated with the subset of images, and identifying at least one location of a traffic face in the geographic location based on a sum of unit vectors of the plurality of rays that project through the 3-D spaces of the geographic location at the at least one location of the traffic face.