Images are an important source of information for spacecraft navigation and for three-
dimensional (3-D) reconstruction of observed space objects. Both of these applications take …

ATTITUDE estimation involves a two-part process: 1) estimation of a vehicle's orientation
from body measurements and known reference observations, such as line-of-sight …

In this paper, we present the vision-aided inertial navigation (VISINAV) algorithm that
enables precision planetary landing. The vision front-end of the VISINAV system extracts 2 …

In this paper we describe an extended Kalman filter algorithm for estimating the pose and
velocity of a spacecraft during entry, descent, and landing. The proposed estimator …

Reinforcement learning (RL) is a promising technique for designing a model-free controller
by interacting with the environment. Several researchers have applied RL to autonomous …

This paper provides a survey of modern nonlinear filtering methods for attitude estimation.
Early applications relied mostly on the extended Kalman filter for attitude estimation. Since …

This article addresses multirigid-body localization problems in 3-D wireless sensor networks
for both stationary and moving cases using range and Doppler measurements. The …

This paper presents a double line-of-sight (LOS) measuring relative navigation technique for
far or medium range (tens of kilometers∼ several kilometers) autonomous rendezvous. In …

This paper addresses the rigid body localization problem using a convex optimization
approach. We propose a semi-definite relaxation (SDR) method for locating a stationary …

This paper develops a relative position and attitude estimation approach for satellite
formation. A coupled relative translational dynamics is derived to represent orbital motion of …