activity
20192022
most citedInfrastructure Node-based Vehicle Localization for Autonomous Driving

3 citations · 8 across the 6 of their papers we have counts for

collaborators

9 papers

cs.MA20222 cited

Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks

Elijah S. Lee, Lifeng Zhou, Alejandro Ribeiro +1

We consider the problem of finding decentralized strategies for multi-agent perimeter defense games. In this work, we design a graph neural network-based learning framework to lear…

cs.CV20222 cited

Vision-based Perimeter Defense via Multiview Pose Estimation

Elijah S. Lee, Giuseppe Loianno, Dinesh Jayaraman +1

Previous studies in the perimeter defense game have largely focused on the fully observable setting where the true player states are known to all players. However, this is unrealis…

cs.RO20213 cited

Infrastructure Node-based Vehicle Localization for Autonomous Driving

Elijah S. Lee, Ankit Vora, Armin Parchami +3

Vehicle localization is essential for autonomous vehicle (AV) navigation and Advanced Driver Assistance Systems (ADAS). Accurate vehicle localization is often achieved via expensiv…

cs.RO20211 cited

Defending a Perimeter from a Ground Intruder Using an Aerial Defender: Theory and Practice

Elijah S. Lee, Daigo Shishika, Giuseppe Loianno +1

The perimeter defense game has received interest in recent years as a variant of the pursuit-evasion game. A number of previous works have solved this game to obtain the optimal st…

cs.RO2021

Active Perception with Neural Networks

Elijah S. Lee

Active perception has been employed in many domains, particularly in the field of robotics. The idea of active perception is to utilize the input data to predict the next action th…

cs.RO2020

Perimeter-defense Game between Aerial Defender and Ground Intruder

Elijah S. Lee, Daigo Shishika, Vijay Kumar

We study a variant of pursuit-evasion game in the context of perimeter defense. In this problem, the intruder aims to reach the base plane of a hemisphere without being captured by…