activity
20162019
most citedA Distributed ADMM Approach to Non-Myopic Path Planning for Multi-Target Tracking

23 citations · 29 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2019★ 2 cited

Task Scheduling of Multiple Agile Satellites with Transition Time and Stereo Imaging Constraints

Junhong Kim, Doo-Hyun Cho, Jaemyung Ahn +1

This paper proposes a framework for scheduling the observation and download tasks of multiple agile satellites with practical considerations such as attitude transition time, onboa…

cs.RO2018

Sampling-Based Tour Generation of Arbitrarily Oriented Dubins Sensor Platforms

Doo-Hyun Cho, Dae-Sung Jang, Han-Lim Choi

This paper describes a formulation and develops a novel procedure for a fleet of unmanned aerial vehicles (UAVs) from the perspective of remotely executable tasks. In a complex mis…

cs.MA2018

Memetic Algorithm-Based Path Generation for Multiple Dubins Vehicles Performing Remote Tasks

Doo-Hyun Cho, Han-Lim Choi

This paper formalizes path planning problem for a group of heterogeneous Dubins vehicles performing tasks in a remote fashion and develops a memetic algorithm-based method to effec…

cs.RO2018★ 23 cited

A Distributed ADMM Approach to Non-Myopic Path Planning for Multi-Target Tracking

Soon-Seo Park, Youngjae Min, Jung-Su Ha +2

This paper investigates non-myopic path planning of mobile sensors for multi-target tracking. Such problem has posed a high computational complexity issue and/or the necessity of h…

cs.RO2016★ 4 cited

Informative Path Planning and Mapping with Multiple UAVs in Wind Fields

Doo-Hyun Cho, Jung-Su Ha, Sujin Lee +2

Informative path planning (IPP) is used to design paths for robotic sensor platforms to extract the best/maximum possible information about a quantity of interest while operating u…