Development of the Autonomous Battery Replacement System on the Unmanned Ground Vehicle for the Drone Endurance

The purpose of this research is to develop an unmanned ground vehicle (UGV) with an autonomous battery replacement system (BRS) to realize the drone endurance by replacing a backup power. When the power of a drone is about to run out, the unmanned ground vehicle will be controlled to go to a position near the drone to wait the drone lands on the UGV. Since an ArUco marker is designed on the UGV, the UGV can be located by detecting the ArUco marker, and assists for the drone landing. After the drone lands on the UAV, the battery replacement system will start the battery replacement program automatically. After the battery is replaced, the drone can continue to perform the mission to achieve the purpose of the endurance flight.

[1]  Keita Higuchi,et al.  Endless Flyer: A Continuous Flying Drone with Automatic Battery Replacement , 2013, 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing.

[2]  David Hyunchul Shim,et al.  Persistent UAV Service: An Improved Scheduling Formulation and Prototypes of System Components , 2013, 2013 International Conference on Unmanned Aircraft Systems (ICUAS).

[3]  Danny Lee,et al.  Autonomous battery swapping system for quadcopter , 2015, 2015 International Conference on Unmanned Aircraft Systems (ICUAS).

[4]  Armin Zimmermann,et al.  A discrete event simulation and evaluation framework for multi UAV system maintenance processes , 2017, 2017 IEEE International Systems Engineering Symposium (ISSE).

[5]  Emmanuel Chaput,et al.  Maintaining a permanent connectivity between nodes of an air-to-ground communication network , 2017, 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC).

[6]  Sebastian Magierowski,et al.  Vehicle Routing Problems for Drone Delivery , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[7]  Mohammad Fattahi Sani,et al.  Automatic navigation and landing of an indoor AR. drone quadrotor using ArUco marker and inertial sensors , 2017, 2017 International Conference on Computer and Drone Applications (IConDA).

[8]  YangQuan Chen,et al.  Low Cost Autonomous Battery Replacement System for Quadrotor Small Unmanned Aerial Systems (sUAS) using 3D Printing Components , 2018, 2018 International Conference on Unmanned Aircraft Systems (ICUAS).

[9]  Jie Li,et al.  SuperDock: A Deep Learning-Based Automated Floating Trash Monitoring System , 2019, 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[10]  2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019, Leicester, United Kingdom, August 19-23, 2019 , 2019, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI.

[11]  Taku Noguchi,et al.  Persistent Cooperative Monitoring System of Disaster Areas Using UAV Networks , 2019, 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI).

[12]  Joongheon Kim,et al.  Auction-Based Charging Scheduling With Deep Learning Framework for Multi-Drone Networks , 2019, IEEE Transactions on Vehicular Technology.

[13]  Jichiang Tsai,et al.  Accuracy Improvement of Straight Take-off, Flying Forward and Landing of a Drone with Reinforcement Learning , 2019, 2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW).

[14]  Vyacheslav Kharchenko,et al.  Routing an Unmanned Aerial Vehicle During NPP Monitoring in the Presence of an Automatic Battery Replacement Aerial System , 2020, 2020 IEEE 11th International Conference on Dependable Systems, Services and Technologies (DESSERT).

[15]  Ivan Kristianto Singgih,et al.  Node and Edge Drone Surveillance Problem With Consideration of Required Observation Quality and Battery Replacement , 2020, IEEE Access.