Abstract—This paper proposes a visual navigation system for an unmanned aerial vehicle to track a moving ground object in a GPS-denied environment. Image processing combines a target tracker which provides pixel coordinates of a ground target, and the estimation of optical flow around the detected target position. An extended Kalman filter is applied to estimate position and velocity of the target as well as those of the own-ship aerial vehicle by fusing the image processing outputs with onboard inertial sensor measurements. The image processor and the estimation filter are tested on onboard camera images and vehicle state data that are synchronically recorded in actual flights. I
Navigation systems of unmanned aircraft systems (UAS) are heavily dependent on the availability of G...
This paper presents an algorithm for improving navigation performance of an Unmanned Aerial Vehicle ...
This paper discusses an approach conceived to improve navigation performance of small Unmanned Aeria...
The purpose of this project is to develop and integrate a prototype multicopter Unmanned Aerial Vehi...
Published by the American Institute of Aeronautics and Astronautics, Inc., with permission.DOI: 10.2...
Many onboard navigation systems use the Global Positioning System to bound the errors that result fr...
This paper investigates the possibility of augmenting an Unmanned Aerial Vehicle (UAV) navigation sy...
In recent years the Unmanned Aerial Vehicle (UAV) community has discovered the enormous amount of in...
The aim of this paper is to explore the possibility of using geo-referenced satellite or aerial imag...
This paper proposes the design and development of an on-board autonomous visual tracking system (AVT...
Without corrective updates from the Global Positioning System, navigational capabilities are degrade...
This paper presents a cooperative unmanned aerial vehicle navigation algorithm that allows a chief v...
Drones are becoming increasingly significant for vast applications, such as firefighting, and rescue...
AFIT/GE/ENG/09-52 This research effort examines the reduction of error in inertial navigation aided ...
Conventional UAV (abbr. Unmanned Air Vehicle) auto-pilot systems uses GPS signal for navigation. Whi...
Navigation systems of unmanned aircraft systems (UAS) are heavily dependent on the availability of G...
This paper presents an algorithm for improving navigation performance of an Unmanned Aerial Vehicle ...
This paper discusses an approach conceived to improve navigation performance of small Unmanned Aeria...
The purpose of this project is to develop and integrate a prototype multicopter Unmanned Aerial Vehi...
Published by the American Institute of Aeronautics and Astronautics, Inc., with permission.DOI: 10.2...
Many onboard navigation systems use the Global Positioning System to bound the errors that result fr...
This paper investigates the possibility of augmenting an Unmanned Aerial Vehicle (UAV) navigation sy...
In recent years the Unmanned Aerial Vehicle (UAV) community has discovered the enormous amount of in...
The aim of this paper is to explore the possibility of using geo-referenced satellite or aerial imag...
This paper proposes the design and development of an on-board autonomous visual tracking system (AVT...
Without corrective updates from the Global Positioning System, navigational capabilities are degrade...
This paper presents a cooperative unmanned aerial vehicle navigation algorithm that allows a chief v...
Drones are becoming increasingly significant for vast applications, such as firefighting, and rescue...
AFIT/GE/ENG/09-52 This research effort examines the reduction of error in inertial navigation aided ...
Conventional UAV (abbr. Unmanned Air Vehicle) auto-pilot systems uses GPS signal for navigation. Whi...
Navigation systems of unmanned aircraft systems (UAS) are heavily dependent on the availability of G...
This paper presents an algorithm for improving navigation performance of an Unmanned Aerial Vehicle ...
This paper discusses an approach conceived to improve navigation performance of small Unmanned Aeria...