LightTR: A Lightweight Framework for Federated Trajectory Recovery

arXiv:2405.03409v1 Announce Type: new
Abstract: With the proliferation of GPS-equipped edge devices, huge trajectory data is generated and accumulated in various domains, motivating a variety of urban applications. Due to the limited acquisition capabilities of edge devices, a lot of trajectories are recorded at a low sampling rate, which may lead to the effectiveness drop of urban applications. We aim to recover a high-sampled trajectory based on the low-sampled trajectory in free space, i.e., without road network information, to enhance …

abstract acquisition applications arxiv capabilities cs.lg data devices domains edge edge devices framework generated gps low rate recovery sampling trajectory type urban