Pedro Revenga

Universidad de Alcalá

Papers

4

Total Citations

53

H-Index

3

About

Pedro Revenga is a researcher whose work spans autonomous vehicle navigation and indoor localization systems. His most notable contribution lies in advancing High-Definition (HD) mapping for autonomous vehicles, where he pioneered the exploitation of OpenDRIVE potential for path planning and map monitoring. This work, published in 2022 and garnering 38 citations, positions HD maps as "pseudo sensors" that provide a trusted baseline for AVs, addressing one of the most challenging engineering tasks of our era. Earlier in his career, Revenga made significant strides in WiFi-based indoor localization, developing systems for people location that have applications in emergency response, elder care, and robotics. His 2007 paper on WiFi signal-based location (9 citations) and subsequent 2014 work on indoor localization software (4 citations) demonstrate his sustained focus on practical, sensor-driven solutions. Revenga also contributed to the field through his editorial work on "Advances in Physical Agents II" (2020), showcasing his commitment to advancing intelligent systems. His research bridges critical gaps in both outdoor autonomous navigation and indoor positioning, making him a versatile contributor to modern robotics and location-aware technologies.

Research Focus

Key Achievements

3
H-Index
4
Papers
53
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
HD maps: Exploiting OpenDRIVE potential for Path Planning and Map Monitoring
38 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Universidad de Alcalá

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago