3 citations · 3 across the 4 of their papers we have counts for
9 papers
Denial of Deadline: Network-Driven Accuracy Collapse in Distributed Inference Pipelines
Jhonatan Tavori, Gur-Eyal Sela, Ion Stoica +1
Inference systems increasingly combine a fast path that returns predictions within the application's latency deadline together with a higher-accuracy slow path that runs higher-com…
Multi-Pedestrian Safety Warning at Urban Intersections Use Case of Digital Twin
Yongjie Fu, Qi Gao, Mahshid Ghasemi Dehkordi +2
Digital twins (DTs) for urban transportation systems have gained increasing attention; however, their systematic evaluation in safety-critical scenarios remains limited. This paper…
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…
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…
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…
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…