2 citations · 2 across the 7 of their papers we have counts for
7 papers
Camera and LiDAR BEV Fusion for Cooperative 3D Object Detection on TUMTraf V2X
Muhammad Shahbaz, Shaurya Agarwal
We describe a Camera and LiDAR fusion detector developed for the TUMTraf V2X cooperative 3D object detection track of the DriveX 2026 challenge. The detector fuses three roadside c…
Physics-Informed Teacher-Student Ensemble Learning for Traffic State Estimation with a Varying Speed Limit Scenario
Archie J. Huang, Dongdong Wang, Shaurya Agarwal +3
Physics-informed deep learning (PIDL) neural networks have shown their capability as a useful instrument for transportation practitioners in utilizing the underlying relationship b…
Benchmarking the accuracy of superconducting pair-pair correlations within Constrained Path Quantum Monte Carlo
Jodie Roberts, Beau A. Thompson, R. Torsten Clay
Ground state properties of the Hubbard model are of fundamental importance to understand the mechanism of unconventional superconductivity in the high-T_c cuprates and other materi…
UrbanTwin: Building High-Fidelity Digital Twins for Sim2Real LiDAR Perception and Evaluation
Muhammad Shahbaz, Shaurya Agarwal
LiDAR-based perception in intelligent transportation systems (ITS) relies on deep neural networks trained with large-scale labeled datasets. However, creating such datasets is expe…
High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception
Muhammad Shahbaz, Shaurya Agarwal
Sim2Real domain transfer offers a cost-effective and scalable approach for developing LiDAR-based perception (e.g., object detection, tracking, segmentation) in Intelligent Transpo…
LiGuard: A Streamlined Open-Source Framework for Rapid & Interactive Lidar Research
Muhammad Shahbaz, Shaurya Agarwal
There is a growing interest in the development of lidar-based autonomous mobility and Intelligent Transportation Systems (ITS). To operate and research on lidar data, researchers o…
UrbanTwin: Synthetic Roadside LiDAR Datasets
Muhammad Shahbaz, Shaurya Agarwal
This article presents UrbanTwin datasets, high-fidelity, realistic replicas of three public roadside lidar datasets: LUMPI, V2X-Real-IC, and TUMTraf-I. Each UrbanTwin dataset conta…