activity
20192024
most citedPOSE.R: Prediction-based Opportunistic Sensing for Resilient and Efficient Sensor Networks

9 citations · 22 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2024★ 6 cited

Generalized Multi-Speed Dubins Motion Model

James P. Wilson, Shalabh Gupta, Thomas A. Wettergren

The paper develops a novel motion model, called Generalized Multi-Speed Dubins Motion Model (GMDM), which extends the Dubins model by considering multiple speeds. While the Dubins…

cs.CV2022

Synthetic Sonar Image Simulation with Various Seabed Conditions for Automatic Target Recognition

Jaejeong Shin, Shi Chang, Matthew Bays +3

We propose a novel method to generate underwater object imagery that is acoustically compliant with that generated by side-scan sonar using the Unreal Engine. We describe the proce…

cs.RO2020★ 7 cited

T-Lite: A Fast Time-Risk Optimal Motion Planning Algorithm for Multi-Speed Autonomous Vehicles

James P. Wilson, Zongyuan Shen, Shalabh Gupta +1

In this paper, we develop a new algorithm, called T-Lite, that enables fast time-risk optimal motion planning for variable-speed autonomous vehicles. The T-Lite…

eess.SY2019★ 9 cited

POSE.R: Prediction-based Opportunistic Sensing for Resilient and Efficient Sensor Networks

James Z. Hare, Junnan Song, Shalabh Gupta +1

The paper presents a distributed algorithm, called Prediction-based Opportunistic Sensing for Resilient and Efficient Sensor Networks (POSE.R), where the sensor nodes utilize predi…

cs.RO2019

Rapid Path Planning for Dubins Vehicles under Environmental Currents

Khushboo Mittal, Junnan Song, Shalabh Gupta +1

This paper presents a rapid (real time) solution to the minimum-time path planning problem for Dubins vehicles under environmental currents (wind or ocean currents). Real-time solu…