activity
20212026
most citedAI-Powered CPS-Enabled Vulnerable-User-Aware Urban Transportation Digital Twin: Methods and Applications

3 citations · 8 across the 10 of their papers we have counts for

collaborators

11 papers

cs.LG2026

Dynamic Minimax Regret Optimization for Robust LLM Post-Training

Chengbo Zang, Haoyu Dong, Mehmet Kerem Turkcan +3

Modern LLM training increasingly relies on heterogeneous data sources spanning different domains, tasks, preference distributions, and difficulty levels. We study dynamic minimax r…

cs.NI2026

ASTRA: Low-Overhead Runtime Architecture for STReam Adaptation in Video Analytics

Mahshid Ghasemi, Zoran Kostic, Javad Ghaderi +1

Real-time video analytics is crucial for smart city applications and cloud-connected vehicle control. To improve analytics accuracy, it is desirable to process the video at the hig…

cs.CV2026

A Vision-Based Analysis of Congestion Pricing in New York City

Mehmet Kerem Turkcan, Jhonatan Tavori, Javad Ghaderi +3

We examine the impact of New York City's congestion pricing program through automated analysis of traffic camera data. Our computer vision pipeline processes footage from over 900…

eess.SY2025★ 3 cited

AI-Powered CPS-Enabled Vulnerable-User-Aware Urban Transportation Digital Twin: Methods and Applications

Yongjie Fu, Mehmet K. Turkcan, Mahshid Ghasemi +6

We present methods and applications for the development of digital twins (DT) for urban traffic management. While the majority of studies on the DT focus on its ``eyes," which is t…

cs.NI2024★ 1 cited

The Streetscape Application Services Stack (SASS): Towards a Distributed Sensing Architecture for Urban Applications

Navid Salami Pargoo, Mahshid Ghasemi, Shuren Xia +8

As urban populations grow, cities are becoming more complex, driving the deployment of interconnected sensing systems to realize the vision of smart cities. These systems aim to im…

cs.CV2024★ 1 cited

Boundless: Generating Photorealistic Synthetic Data for Object Detection in Urban Streetscapes

Mehmet Kerem Turkcan, Yuyang Li, Chengbo Zang +3

We introduce Boundless, a photo-realistic synthetic data generation system for enabling highly accurate object detection in dense urban streetscapes. Boundless can replace massive…

cs.CV2024

Data-Driven Traffic Simulation for an Intersection in a Metropolis

Chengbo Zang, Mehmet Kerem Turkcan, Gil Zussman +2

We present a novel data-driven simulation environment for modeling traffic in metropolitan street intersections. Using real-world tracking data collected over an extended period of…

cs.CV2024★ 1 cited

Constellation Dataset: Benchmarking High-Altitude Object Detection for an Urban Intersection

Mehmet Kerem Turkcan, Sanjeev Narasimhan, Chengbo Zang +6

We introduce Constellation, a dataset of 13K images suitable for research on detection of objects in dense urban streetscapes observed from high-elevation cameras, collected for a…

cs.HC2023

StreetNav: Leveraging Street Cameras to Support Precise Outdoor Navigation for Blind Pedestrians

Gaurav Jain, Basel Hindi, Zihao Zhang +12

Blind and low-vision (BLV) people rely on GPS-based systems for outdoor navigation. GPS's inaccuracy, however, causes them to veer off track, run into obstacles, and struggle to re…

cs.CV2022★ 2 cited

Smart City Intersections: Intelligence Nodes for Future Metropolises

Zoran Kostić, Alex Angus, Zhengye Yang +4

Traffic intersections are the most suitable locations for the deployment of computing, communications, and intelligence services for smart cities of the future. The abundance of da…

cs.CV2021

Birds Eye View Social Distancing Analysis System

Zhengye Yang, Mingfei Sun, Hongzhe Ye +3

Social distancing can reduce the infection rates in respiratory pandemics such as COVID-19. Traffic intersections are particularly suitable for monitoring and evaluation of social…