Papers

3

Total Citations

67

H-Index

3

About

Julie Dugdale is a leading researcher at the intersection of human behavior and autonomous systems, with a primary focus on pedestrian-AV interaction and socially compliant navigation. Her work addresses the critical challenge of how autonomous vehicles can safely and predictably share urban spaces with pedestrians. Dugdale’s major contribution is the development of an integrative framework for analyzing pedestrian behavior in shared spaces, as detailed in her highly cited 2021 review (56 citations), which synthesizes psychological, engineering, and computational perspectives to model how pedestrians respond to AVs. She has also advanced navigation algorithms for dense crowds, introducing behavioral clustering techniques that enable autonomous vehicles—such as wheelchairs or cars—to move in a socially compliant manner. Her 2023 paper on evaluating AV navigation around pedestrians (7 citations) underscores her commitment to rigorous simulation-based testing before real-world deployment. Dugdale’s work is notable for bridging the gap between technical navigation systems and human-centric design, making her a key voice in shaping the future of urban mobility. Her research is essential reading for students and engineers tackling the complexities of human-robot interaction in dynamic environments.

Research Focus

Key Achievements

3
H-Index
3
Papers
67
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Pedestrian Behavior in Shared Spaces With Autonomous Vehicles: An Integrated Framework and Review
56 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Laboratoire d'Informatique de Grenoble, Centre National de la Recherche Scientifique

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago