GM CT Synthesizing disparate camera angles into a single cohesive coordinate frame usually requires precise GPS RTK bases that consumer devices lack. Without high-end differential positioning, individual edge captures drift and fail to align seamlessly. I find the visual bundle adjustment engine behind @vangrid_io critical here. By matching distinct visual feature descriptors across overlapping crowd passes, the network runs global pose graph optimization that locks disconnected trajectories into an exact, millimeter-accurate coordinate mesh. Mathematical consensus over visual features replaces the need for expensive physical surveying base stations.