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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Record
| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.15779 |
| Publication time | Mon, 18 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-18T04:04:54.418Z |
| Last seen | 2026-05-18T04:04:54.418Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 4nDD3nIeAHiy |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
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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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.
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