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.GN2025
Exploring the Role of Perceived Range Anxiety in Adoption Behavior of Plug-in Electric Vehicles
Fatemeh Nazari, Abolfazl Mohammadian
A sustainable solution to negative externalities imposed by road transportation is replacing internal combustion vehicles with electric vehicles (EVs), especially plug-in EV (PEV)…
econ.GN2025
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…