[2603.26610] Think over Trajectories: Leveraging Video Generation to Reconstruct GPS Trajectories from Cellular Signaling

Computer Science > Computer Vision and Pattern Recognition arXiv:2603.26610 (cs) [Submitted on 27 Mar 2026] Title:Think over Trajectories: Leveraging Video Generation to Reconstruct GPS Trajectories from Cellular Signaling Authors:Ruixing Zhang, Hanzhang Jiang, Leilei Sun, Liangzhe Han, Jibin Wang, Weifeng Lv View a PDF of the paper titled Think over Trajectories: Leveraging Video Generation to Reconstruct GPS Trajectories from Cellular Signaling, by Ruixing Zhang and 5 other authors View PDF HTML (experimental) Abstract:Mobile devices continuously interact with cellular base stations, generating massive volumes of signaling records that provide broad coverage for understanding human mobility. However, such records offer only coarse location cues (e.g., serving-cell identifiers) and therefore limit their direct use in applications that require high-precision GPS trajectories. This paper studies the Sig2GPS problem: reconstructing GPS trajectories from cellular signaling. Inspired by domain experts often lay the signaling trace on the map and sketch the corresponding GPS route, unlike conventional solutions that rely on complex multi-stage engineering pipelines or regress coordinates, Sig2GPS is reframed as an image-to-video generation task that directly operates in the map-visual domain: signaling traces are rendered on a map, and a video generation model is trained to draw a continuous GPS path. To support this paradigm, a paired signaling-to-trajectory video dataset is c...