April 15, 2024, 4:41 a.m. | Ali Al-Lawati, Elsayed Eshra, Prasenjit Mitra

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.08068v1 Announce Type: new
Abstract: Trajectory generation is an important task in movement studies; it circumvents the privacy, ethical, and technical challenges of collecting real trajectories from the target population. In particular, real trajectories in the wildlife domain are scarce as a result of ethical and environmental constraints of the collection process. In this paper, we consider the problem of generating long-horizon trajectories, akin to wildlife migration, based on a small set of real samples. We propose a hierarchical approach …

arxiv cs.ai cs.lg graph graph-based trajectory type wildlife

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