Abstract: A system receives a road network map that corresponds to a road network that is in an environment of an autonomous vehicle. For each of the one or more lane segments, the system identifies one or more conflicting lane segments from the plurality of lane segments, each of which conflicts with the lane segment, and adds conflict data pertaining to a conflict between the lane segment and the one or more conflicting lane segments to a set of conflict data. The system analyzes the conflict data to identify a conflict cluster that is representative of an intersection. The system groups predecessor lane segments and the successor lane segments as inlets or outlets of the intersection, generates an outer geometric boundary of the intersection, generates an inner geometric boundary of the intersection, creates a data representation of the intersection and adds the data representation to the road network map.

Abstract: Systems and methods for processing point cloud data are disclosed. The methods include receiving a 3D image including point cloud data, displaying a 2D image of the 3D image, and generating a 2D bounding box that envelops an object of interest in the 2D image. The methods further include generating a projected image frame comprising a projected plurality of points by projecting a plurality of points in a first direction. The methods may then include displaying an image frame that includes the 2D image and the 2D bounding box superimposed by the projected image frame, receiving a user input that includes an identification of a set of points in the projected plurality of points that correspond to the object of interest, identifying a label for the object of interest, and storing the set of points that correspond to the object of interest in association with the label.

Abstract: A system receives a road network map that corresponds to a road network that is in an environment of an autonomous vehicle. For each of the one or more lane segments, the system identifies one or more conflicting lane segments from the plurality of lane segments, each of which conflicts with the lane segment, and adds conflict data pertaining to a conflict between the lane segment and the one or more conflicting lane segments to a set of conflict data. The system analyzes the conflict data to identify a conflict cluster that is representative of an intersection. The system groups predecessor lane segments and the successor lane segments as inlets or outlets of the intersection, generates an outer geometric boundary of the intersection, generates an inner geometric boundary of the intersection, creates a data representation of the intersection and adds the data representation to the road network map.

Abstract: Systems and methods for processing point cloud data are disclosed. The methods include receiving a 3D image including point cloud data, displaying a 2D image of the 3D image, and generating a 2D bounding box that envelops an object of interest in the 2D image. The methods further include generating a projected image frame comprising a projected plurality of points by projecting a plurality of points in a first direction. The methods may then include displaying an image frame that includes the 2D image and the 2D bounding box superimposed by the projected image frame, receiving a user input that includes an identification of a set of points in the projected plurality of points that correspond to the object of interest, identifying a label for the object of interest, and storing the set of points that correspond to the object of interest in association with the label.