18 citations · 51 across the 7 of their papers we have counts for
10 papers
Bayesian Learning Approach to Model Predictive Control
Namhoon Cho, Seokwon Lee, Hyo-Sang Shin +1
This study presents a Bayesian learning perspective towards model predictive control algorithms. High-level frameworks have been developed separately in the earlier studies on Baye…
Variational Probabilistic Multi-Hypothesis Tracking
Shuoyuan Xu, Hyo-Sang Shin, Antonios Tsourdos
This paper proposes a novel multi-target tracking (MTT) algorithm for scenarios with arbitrary numbers of measurements per target. We propose the variational probabilistic multi-hy…
A Learning-Based Computational Impact Time Guidance
Zichao Liu, Jiang Wang, Shaoming He +2
This paper investigates the problem of impact-time-control and proposes a learning-based computational guidance algorithm to solve this problem. The proposed guidance algorithm is…
A New Exponential Forgetting Algorithm for Recursive Least-Squares Parameter Estimation
Hyo-Sang Shin, Hae-In Lee
This paper develops a new exponential forgetting algorithm that can prevent so-called the estimator windup problem, while retaining fast convergence speed. To investigate the prope…
Improving Learning Effectiveness For Object Detection and Classification in Cluttered Backgrounds
Vinorth Varatharasan, Hyo-Sang Shin, Antonios Tsourdos +1
Usually, Neural Networks models are trained with a large dataset of images in homogeneous backgrounds. The issue is that the performance of the network models trained could be sign…
Target Detection, Tracking and Avoidance System for Low-cost UAVs using AI-Based Approaches
Vinorth Varatharasan, Alice Shuang Shuang Rao, Eric Toutounji +2
An onboard target detection, tracking and avoidance system has been developed in this paper, for low-cost UAV flight controllers using AI-Based approaches. The aim of the proposed…