TY - GEN
T1 - Persistent UAV service
AU - Song, Byung Duk
AU - Kim, Jonghoe
AU - Kim, Jeongwoon
AU - Park, Hyorin
AU - Morrison, James R.
AU - Shim, David Hyunchul
PY - 2013
Y1 - 2013
N2 - The flight duration of unmanned aerial vehicles (UAVs) is limited by their battery or fuel capacity. As a consequence, the duration of missions that can be pursued by UAVs without supporting logistics is restricted. However, a system of UAVs that is supported by automated logistics structures, such as fuel service stations and orchestration algorithms, may pursue missions of conceivably indefinite duration. This may be accomplished by handing off the mission tasks to fully fueled replacement UAVs when the current fleet grows weary. The drained UAVs then seek replenishment from nearby logistics support facilities. To support the vision of a persistent fleet of UAVs pursuing missions across a field of operations, we develop an improved mixed integer linear programming (MILP) model that can serve to support the system's efforts to orchestrate the operations of numerous UAVs, missions and logistics facilities. Further, we look toward the future implementation of such a persistent fleet out-doors and develop prototype components required for such a system. In particular, we develop and demonstrate the concerted operation of a scheduling model, UAV onboard vision-based guidance system and replenishment stations.
AB - The flight duration of unmanned aerial vehicles (UAVs) is limited by their battery or fuel capacity. As a consequence, the duration of missions that can be pursued by UAVs without supporting logistics is restricted. However, a system of UAVs that is supported by automated logistics structures, such as fuel service stations and orchestration algorithms, may pursue missions of conceivably indefinite duration. This may be accomplished by handing off the mission tasks to fully fueled replacement UAVs when the current fleet grows weary. The drained UAVs then seek replenishment from nearby logistics support facilities. To support the vision of a persistent fleet of UAVs pursuing missions across a field of operations, we develop an improved mixed integer linear programming (MILP) model that can serve to support the system's efforts to orchestrate the operations of numerous UAVs, missions and logistics facilities. Further, we look toward the future implementation of such a persistent fleet out-doors and develop prototype components required for such a system. In particular, we develop and demonstrate the concerted operation of a scheduling model, UAV onboard vision-based guidance system and replenishment stations.
UR - http://www.scopus.com/inward/record.url?scp=84883060422&partnerID=8YFLogxK
U2 - 10.1109/ICUAS.2013.6564777
DO - 10.1109/ICUAS.2013.6564777
M3 - Conference contribution
AN - SCOPUS:84883060422
SN - 9781479908172
T3 - 2013 International Conference on Unmanned Aircraft Systems, ICUAS 2013 - Conference Proceedings
SP - 915
EP - 925
BT - 2013 International Conference on Unmanned Aircraft Systems, ICUAS 2013 - Conference Proceedings
Y2 - 28 May 2013 through 28 May 2013
ER -