1 code implementation • 10 Dec 2024 • Ashik E Rasul, Humaira Tasnim, Hyung-Jin Yoon, Ayoosh Bansal, Duo Wang, Naira Hovakimyan, Lui Sha, Petros Voulgaris
However, synthetic data generation solutions for aerial vehicles are still lacking.
no code implementations • 9 Jun 2023 • Ran Tao, Hunmin Kim, Hyung-Jin Yoon, Wenbin Wan, Naira Hovakimyan, Lui Sha, Petros Voulgaris
To include this new safety concept in control problems, we formulate a feasibility maximization problem aiming to maximize the feasibility of the primary and alternative missions.
no code implementations • 28 Dec 2022 • Hyung-Jin Yoon, Hamidreza Jafarnejadsani, Petros Voulgaris
We propose a multi-level stochastic optimization framework that monitors an attacker's capability of generating the adversarial perturbations.
no code implementations • 15 Sep 2022 • Hyung-Jin Yoon, Petros Voulgaris
Due to recent climate changes, we have seen more frequent and severe wildfires in the United States.
no code implementations • 23 Jun 2022 • Chuyuan Tao, Hyung-Jin Yoon, Hunmin Kim, Naira Hovakimyan, Petros Voulgaris
In this paper, we utilize Stochastic Control Barrier Functions (SCBFs) constraints to limit sample regions in the sample-based algorithm, ensuring safety in a probabilistic sense and improving sample efficiency with a stochastic differential equation.
no code implementations • 28 Nov 2021 • Alissa Chavalithumrong, Hyung-Jin Yoon, Petros Voulgaris
As wildfires are expected to become more frequent and severe, improved prediction models are vital to mitigating risk and allocating resources.
no code implementations • 30 Sep 2021 • Hyungsoo Kang, Hyung-Jin Yoon, Venanzio Cichella, Naira Hovakimyan, Petros Voulgaris
This paper presents a time-coordination algorithm for multiple UAVs executing cooperative missions.
no code implementations • 9 May 2021 • Hyung-Jin Yoon, Hamidreza Jafarnejadsani, Petros Voulgaris
While adversarial neural networks have been shown successful for static image attacks, very few approaches have been developed for attacking online image streams while taking into account the underlying physical dynamics of autonomous vehicles, their mission, and environment.
no code implementations • 2 Aug 2019 • Aman Rana, Alarice Lowe, Marie Lithgow, Katharine Horback, Tyler Janovitz, Annacarolina Da Silva, Harrison Tsai, Vignesh Shanmugam, Hyung-Jin Yoon, Pratik Shah
Our neural network framework thus is automated, explainable and performs high precision H&E staining and destaining of low cost native RGB images, and is computer vision and physician authenticated for rapid and accurate tumor diagnoses.
no code implementations • 13 Dec 2018 • Hyung-Jin Yoon, Huaiyu Chen, Kehan Long, Heling Zhang, Aditya Gahlawat, Donghwan Lee, Naira Hovakimyan
The encoding is useful for sharing local visual observations with other agents under communication resource constraints.
no code implementations • 17 Sep 2018 • Hyung-Jin Yoon, Donghwan Lee, Naira Hovakimyan
The objective is to study an on-line Hidden Markov model (HMM) estimation-based Q-learning algorithm for partially observable Markov decision process (POMDP) on finite state and action sets.