Unmanned Aerial Vehicles (UAVs) have enormous potentials for several important applications, such as search and rescue and structural health monitoring. An important requirement for these applications is the ability to accurately localize objects, such as sensors or ''smart-things'', equipped with wireless communication capability. However, most previous works in this area neglect the unavoidable errors that are involved in the localization process, thus resulting in poor performance in practice. In this paper, for the first time, we express the measurement error on the ground as a function of the rolling, altitude, and instrumental precision provided by the hardware on the drone. We takeaway two lessons from this analysis: to limit the ground error (i) all the waypoints used to measure the same node must be at a sufficiently large ground distance from the node itself, and (ii) they must not be collinear among themselves nor with the node. We validate the error expressions derived analytically through real experiments using the 3DR Solo Drone.
|Title of host publication||2018 IEEE International Conference on Communications, ICC 2018 - Proceedings|
|State||Published - Jul 27 2018|
|Event||2018 IEEE International Conference on Communications, ICC 2018 - Kansas City, United States|
Duration: May 20 2018 → May 24 2018
|Name||IEEE International Conference on Communications|
|Conference||2018 IEEE International Conference on Communications, ICC 2018|
|Period||5/20/18 → 5/24/18|
Bibliographical noteFunding Information:
The work has been partially supported by GEO-SAFE (H2020-691161), “RISE” Fondazione CR-PG (code 2016.0104.021), the NATO Science for Peace and Security grant G4936, and “GNCS - INdAM”.
© 2018 IEEE.
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering