Abstract
This paper details the design and system components of the Multi-Modal Autonomous Vehicle Network system (MAVNet). MAVNet was designed to provide reliable and redundant command, control and payload data distribution for unmanned vehicles operating beyond visual line of sight. Current industry solutions do not adequately solve key networking challenges, do not support network diversity and fall short of providing desirable next-generation requirements including data fusion from national air space data sources, multi-pilot and multi-agent control. The MAVNet system and the approach taken to solve these issues will be detailed in this paper.
| Original language | English |
|---|---|
| State | Published - 2019 |
| Event | AUVSI XPONENTIAL 2019: All Things Unmanned - Chicago, United States Duration: Apr 29 2019 → May 2 2019 |
Conference
| Conference | AUVSI XPONENTIAL 2019: All Things Unmanned |
|---|---|
| Country/Territory | United States |
| City | Chicago |
| Period | 04/29/19 → 05/2/19 |
Funding
This work was performed at the Oak Ridge National Laboratory under DOE contract No DE-AC05-00OR2272. The authors would like to thank and acknowledge our government sponsors who supported this work. We would also like to thank partners mentioned in the Appendix, including staff at the Remote Sensing Lab and the Nevada National Security Site.
| Funders | Funder number |
|---|---|
| U.S. Department of Energy | DE-AC05-00OR2272 |