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This paper presents a method of improving the attitude determination accuracy for nanosatellites with the aid of the camera sensor. In typical mission, the star tracker is usually used as an optical sensor for the precise attitude pointing for the nanosatellite. However, mostly, the star tracker cannot be affordable for most of the missions because of its cost. Instead of using the star tracker, the...
Under GPS-denied conditions, an inertial navigation diverges easily due to integration drift in the measurement of acceleration and angular velocity. Therefore, a terrain relative navigation (TRN) is applied to correct the drift error for precise lunar landing mission. Diverse sensors are used for the TRN in these days, such as a Light and Detection and Ranging (LIDAR), laser altimeter, and optical...
An approach to vision-based navigation system for autonomous navigation of unmanned aircraft with use of terrain elevation map is addressed. We considered simultaneous localization and mapping (SLAM) algorithm to be the system to which the digital terrain elevation data (DTED) is merged. The proposed algorithm acquires range measurement by line-of-sight (LOS) intersection and provides it to the SLAM...
In this paper, we studied for the ellipse fitting problem when an unmanned aerial vehicle (UAV) reaches near a landing marker for vision-based autonomous landing. Due to limited field of view of a camera, the entire shape of the landing marker cannot be captured as the vehicle approaches it. Also, depending on the vehicle's pose, the shape of the maker is shown distortedly. In order to overcome these...
A vision-only navigation system is addressed for autonomous navigation of unmanned aerial vehicles (UAVs) with monocular camera as the only sensor. Typical vision-based navigation algorithms blend inertial navigation data with vision measurements and other available information to estimate vehicle's position. In this paper, however, we propose an approach that replaces the high-cost inertial navigation...
The purpose of this paper is to present a proper guidance law for an UAV tracking and landing on a moving target with aid of on-board vision sensor. The image processing procedure extracts the target from the captured video and estimate the position and velocity of the target. With this information on image plane, we could calculate its position with relation to inertia frame. Using this geolocation...
This paper presents target motion estimation for multiple air vehicles. The motion of the airborne target is estimated by vision information from camera sensors fixed to the followers. Each camera sensors provides information of the target by three angles: an azimuth angle, an elevation angle, and a subtended angle. In the frame work of information filter, each follower estimates position, velocity...
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