About

Antonino Crivello is a leading researcher in indoor positioning and localization systems, with a particular focus on benchmarking and performance evaluation. His work addresses the critical challenge of developing reliable, cost-effective indoor navigation technologies—a field where, unlike outdoor GPS, no universal solution has yet emerged. Crivello’s most influential contribution is his foundational role in the EvAAL (Evaluating AAL Systems through Competitive Benchmarking) framework, which established standardized metrics for comparing indoor localization systems. His landmark 2017 paper on this topic has garnered 82 citations, cementing its importance in the field. He has also been instrumental in organizing and providing datasets for the prestigious IPIN (Indoor Positioning and Indoor Navigation) competitions, notably for the smartphone-based off-site tracks in 2019 and 2023. These resources are vital for the research community, enabling reproducible evaluation and driving innovation. Crivello’s work on sensors and sensing technologies for indoor positioning further underscores his expertise, with his 2020 survey paper accumulating 24 citations. Through his rigorous benchmarking efforts and open data initiatives, Crivello has significantly advanced the reliability and comparability of indoor localization research, making him a key figure in this rapidly evolving domain.

Research Focus

Key Achievements

4
H-Index
4
Papers
123
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Comparing the Performance of Indoor Localization Systems through the EvAAL Framework
82 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo", Institute of Scientific and Technical Information of China

Top Papers

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  3. 3
    Datasets and Supporting Materials for the IPIN 2019 Competition Track 3 (Smartphone-based, off-site)
    13 citations · 2019
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago