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Gabriel Lanzaro

Orcid: 0000-0001-9132-1421

According to our database1, Gabriel Lanzaro authored at least 4 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Evaluating driver-pedestrian interaction behavior in different environments via Markov-game-based inverse reinforcement learning.
[BibTeX]
[DOI]
Gabriel Lanzaro
,
Tarek Sayed
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.
[BibTeX]
[DOI]
Maged Shoman
,
Tarek Ghoul
,
Gabriel Lanzaro
,
Tala Alsharif
,
Suliman A. Gargoum
,
Tarek Sayed
Algorithms, May, 2024

2023
Comparing the Crash Risk of Vehicle-Pedestrian Interactions using Autonomous Vehicle Data.
[BibTeX]
[DOI]
Gabriel Lanzaro
,
Chuanyun Fu
,
Tarek Sayed
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022
Modeling Motorcyclist-Pedestrian Near Misses: A Multiagent Adversarial Inverse Reinforcement Learning Approach.
[BibTeX]
[DOI]
Gabriel Lanzaro
,
Tarek Sayed
,
Rushdi Alsaleh
J. Comput. Civ. Eng., 2022


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