Gabriel Lanzaro
Orcid: 0000-0001-9132-1421
According to our database1,
Gabriel Lanzaro
authored at least 4 papers
between 2022 and 2025.
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Bibliography
2025
Evaluating driver-pedestrian interaction behavior in different environments via Markov-game-based inverse reinforcement learning.
Expert Syst. Appl., 2025
2024
Enforcing Traffic Safety: A Deep Learning Approach for Detecting Motorcyclists' Helmet Violations Using YOLOv8 and Deep Convolutional Generative Adversarial Network-Generated Images.
Algorithms, May, 2024
2023
Comparing the Crash Risk of Vehicle-Pedestrian Interactions using Autonomous Vehicle Data.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
2022
Modeling Motorcyclist-Pedestrian Near Misses: A Multiagent Adversarial Inverse Reinforcement Learning Approach.
J. Comput. Civ. Eng., 2022