3 papers
cs.CV2025
AD-SAM: Fine-Tuning the Segment Anything Vision Foundation Model for Autonomous Driving Perception
Mario Camarena, Het Patel, Fatemeh Nazari +3
This paper presents the Autonomous Driving Segment Anything Model (AD-SAM), a fine-tuned vision foundation model for semantic segmentation in autonomous driving (AD). AD-SAM extend…
econ.GN2023
Urban Mobility in the Age of Automation: Analyzing Public Attitudes Toward Privately-Owned versus Shared Automated Vehicles
Yellitza Soto, Fatemeh Nazari, Mohamadhossein Noruzoliaee
Transportation systems will be likely transformed by the emergence of automated vehicles (AVs) promising for safe, convenient, and efficient mobility, especially if used in shared…
econ.GN2023
Behavioral acceptance of automated vehicles: The roles of perceived safety concern and current travel behavior
Fatemeh Nazari, Mohamadhossein Noruzoliaee, Abolfazl Mohammadian
With the prospect of next-generation automated mobility ecosystem, the realization of the contended traffic efficiency and safety benefits are contingent upon the demand landscape…