Papers
1
Total Citations
7
H-Index
1
About
Maria Kabtoul is a researcher at the forefront of autonomous vehicle navigation, with a specialized focus on the complex interaction between self-driving cars and pedestrians in urban environments. Her work addresses a critical safety challenge: how to rigorously evaluate and test navigation systems before real-world deployment. In her highly cited 2023 paper, "How To Evaluate the Navigation of Autonomous Vehicles Around Pedestrians?"—which has garnered 7 citations—Kabtoul provides a foundational framework for simulation-based testing, emphasizing the need for robust performance metrics that account for pedestrian behavior and unpredictability. This contribution is vital for bridging the gap between theoretical algorithms and practical, safe implementation. Kabtoul’s research is shaping the standards for autonomous vehicle evaluation, ensuring that as these technologies advance, they do so with a proven capacity to navigate human-populated spaces safely. Her work is essential reading for students and engineers developing next-generation autonomous systems.
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