The number of connected mobile devices and Internet of Things (IoT) is growing around us,
rapidly. Since most of people's daily activities are relying on these connected things or …

There are two indispensable methodologies for autonomous flights performed by unmanned
aerial vehicles (UAV). The first is flight control, and the other is simultaneous localization and …

This paper focuses on the joint estimation of parameters and topologies of multivariate
graphical autoregressive moving-average (ARMA) processes. Since the graphical structure …

For robot swarm applications, accurate positioning is one of the most important requirements
for avoiding collisions and keeping formations and cooperation between individuals …

In recent years, onboard self-localization (OSL) methods based on cameras or lidar have
achieved many significant progresses. However, some issues such as estimation drift and …

Trajectory estimation refers to the task of obtaining position and orientation estimates by
fusing various sensor inputs. In kinematic mapping, global navigation satellite systems …

Accurate and robust state estimation is critical for the heterogeneous agent systems,
particularly when considering the challenges posed by Unmanned Aerial Vehicles (UAVs) …

In multi-robot systems, two important research problems are relative localization between
the robots and global localization of all robots in a common frame. Traditional methods rely …

In this article, we study the problem of estimating the four-degree-of-freedom (3-D position
and heading) robot-to-robot relative frame transformation using onboard odometry and …

For a network of robots working in a specific environment, relative localization among robots
is the basis for accomplishing various upper-level tasks. To avoid the latency and fragility of …