A Topology-Aware Spatiotemporal Handover Framework for Continuous Multi-UAV Tracking
The article discusses a new framework for continuous tracking of multiple Unmanned Aerial Vehicles (UAVs) within Intelligent Transportation Systems. It addresses challenges related to trajectory fragmentation and identity persistence across multiple UAVs. The proposed system demonstrates a high success rate in maintaining vehicle identity in complex urban environments.
- ▪The framework introduces a Multi-Camera Multi-Vehicle Tracking system to ensure global identity persistence.
- ▪A lightweight Topology-Based Spatiotemporal Handover mechanism is implemented to manage identity handover efficiently.
- ▪Experimental results show a Handover Success Rate of 99.8%, significantly outperforming existing Re-ID baselines.
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Computer Science > Robotics arXiv:2605.15779 (cs) [Submitted on 15 May 2026] Title:A Topology-Aware Spatiotemporal Handover Framework for Continuous Multi-UAV Tracking Authors:Jianlin Ye, Christos Kyrkou, Panayiotis Kolios View a PDF of the paper titled A Topology-Aware Spatiotemporal Handover Framework for Continuous Multi-UAV Tracking, by Jianlin Ye and 2 other authors View PDF HTML (experimental) Abstract:The integration of Unmanned Aerial Vehicles(UAVs) into Intelligent Transportation Systems (ITS) offers synoptic visibility for traffic monitoring, yet scalable deployment is hindered by trajectory fragmentation, where vehicle identity persistence is lost across multi-UAV Fields of View (FOV).
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