activity
20142025
most citedA Gaussian process latent force model for joint input-state estimation in linear structural systems

124 citations · 205 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025★ 1 cited

Tracking Wildfire Assets with Commodity RFID and Gaussian Process Modeling

John Hateley, Sriram Narasimhan, Omid Abari

This paper presents a novel, cost-effective, and scalable approach to track numerous assets distributed in forested environments using commodity Radio Frequency Identification (RFI…

cs.SI2023

Edge Ranking of Graphs in Transportation Networks using a Graph Neural Network (GNN)

Debasish Jana, Sven Malama, Sriram Narasimhan +1

Many networks, such as transportation, power, and water distribution, can be represented as graphs. Crucial challenge in graph representations is identifying the importance of grap…

cs.RO2023

A Target-Based Extrinsic Calibration Framework for Non-Overlapping Camera-Lidar Systems Using a Motion Capture System

Nicholas Charron, Huaiyuan Weng, Steven L. Waslander +1

We present a novel target-based lidar-camera extrinsic calibration methodology that can be used for non-overlapping field of view (FOV) sensors. Contrary to previous work, our meth…

cs.LG2019★ 124 cited

A Gaussian process latent force model for joint input-state estimation in linear structural systems

Rajdip Nayek, Souvik Chakraborty, Sriram Narasimhan

The problem of combined state and input estimation of linear structural systems based on measured responses and a priori knowledge of structural model is considered. A novel method…

quant-ph2014★ 80 cited

A Quantum Annealing Approach for Fault Detection and Diagnosis of Graph-Based Systems

Alejandro Perdomo-Ortiz, Joseph Fluegemann, Sriram Narasimhan +2

Diagnosing the minimal set of faults capable of explaining a set of given observations, e.g., from sensor readouts, is a hard combinatorial optimization problem usually tackled wit…