GNSS integration with vision-based navigation for low GNSS visibility conditions

Won, Daehee; Lee, Eunsung; Heo, Moon Beom; Sung, Sangkyung; Lee, Jiyun; Lee, Young Jae

doi:10.1007/s10291-013-0318-8

Cited by 45 publications

(21 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous work has mainly focused on loosely coupling GNSS with vision [43], or deeply coupling the tracking modules of a GNSS receiver with a vision-aided inertial system, to reduce the receiver noise bandwidth by compensating for the user dynamics [8], [35]. In [34], it has been shown that one can couple vision with carrier-phase GNSS observations when utilizing a fixed base station to improve localization on earth and speed of ambiguity recovery.…”

Section: Introductionmentioning

confidence: 99%

DGNSS-Vision Integration for Robust and Accurate Relative Spacecraft Navigation

Capuano¹,

Harvard²,

Lin³

et al. 2019

Proceedings of the 32nd International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 201

View full text Add to dashboard Cite

He received a PhD in Microsystems and Microelectronics atÉcole Polytechnique Fédérale de Lausanne (EPFL), a Master of Engineering in Astronautic Engineering from the University of Rome "La Sapienza" and a Bachelor of Engineering in Aerospace Engineering from the University of Naples "Federico II". His current research activity focuses on Spacecraft Navigation, mainly relative navigation, vision-based, GNSS-based and multisensor-based.

show abstract

Section: Introductionmentioning

confidence: 99%

DGNSS-Vision Integration for Robust and Accurate Relative Spacecraft Navigation

Capuano¹,

Harvard²,

Lin³

et al. 2019

Proceedings of the 32nd International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 201

View full text Add to dashboard Cite

show abstract

“…It also plays a critical role in many application of robot, such as tele-operation [1,2], robot navigation [3][4][5][6], surveillance [7], etc.. In all the applications mentioned above, the vision system requires the information acquired clear, accuracy and stable.…”

Section: Introductionmentioning

confidence: 99%

A novel video stabilization method with global motion vector prediction and border region recovery

Zhang

Leng

et al. 2014

2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)

View full text Add to dashboard Cite

This paper presents a novel approach of vision stabilization, potentially applied to mobile robot or unmanned vehicle, which is inspired by the characteristics of human eye. Vision information processing is a key technology of intelligent mobile platform. However, in some condition, such as the vision module mount on the vehicle moving on the rugged ground, the system could not acquire stable vision, which influence the post-process of image information and make the observer uncomfortable. With video stabilization technology, the unwanted vibrations or shakes of video sequences is smoothed at real time speed. The algorithm proposed is mainly based on digital image stabilization technology, which divides the whole vision in 9 sub-area averagely, then processes searching and matching strategy by macro block with size of 16 16 or 8 8 pixels. Both the start point for searching and motion vector are predicted by the motion trend. After the motion compensation procedure, the video is stabilized. During the procedure above, the edge area of the video is lost. In this paper, a recovery method inspired by human vision is discussed, which consider the duration of vision factors. With the evaluating a sequence of unstable images acquired by vision system on the mobile robot, we can draw the conclusion that the effectiveness and validation of the method aforementioned is implemented.

show abstract

“…Greater number of available satellites also helps to shorten the duration of the session, especially for most accurate measurements. Also it makes available areas so far unavailable for GPS-only observations due to the lack of necessary number of simultaneously tracking satellites [3] (Figs. 1 and 2).…”

Section: Introductionmentioning

confidence: 99%

GPS-only, GLONASS-only and Combined GPS+GLONASS Absolute Positioning under Different Sky View Conditions

Maciuk

2018

Teh. vjesn.

View full text Add to dashboard Cite

In recent years GNSS measurements techniques obtained a majority role in civil engineering and other technical fields. An example of this is the monitoring of both natural phenomena and manmade constructions. The main advantages of satellite positioning, as opposite to classical surveying techniques like levelling or total stations, are continuous long term observations and economic advantage, due to the lack of measurement crew. Currently, apart from GPS, other satellite systems in use like GLONASS or Galileo are becoming more important. Together with development of GNSS measurements for satellite positioning in open areas, also urban and mountainous areas can be measured. This kind of areas was excluded from measurements with single GNSS system, due to the lack of the required minimum number of visible satellites. Multi-GNSS (hybrid, integrated-usage of more than one satellite navigation system in measurements) positioning, currently providing more than 80 active satellites, opens new grounds for satellite measurements. Among measurement methods PPP is the most developing one since the beginning of 21 st century. Main PPP advantages are: independence from reference station, lack of limitation of use to certain areas and global coverage with consistent, homogenous solutions. The paper shows the results of 90-days continuous static observations processed with the usage of PPP technique on simulated different sky view conditions. Measurements were made on points with known coordinates as a construction simulation. The data were processed in three modes: GPS-only, GLONASS-only and hybrid GNSS (GPS+GLONASS) using three different elevation cutoff angles. Accuracy analyses were carried out on the basis of final, daily EPN solutions at the observation time.

show abstract

GNSS integration with vision-based navigation for low GNSS visibility conditions

Cited by 45 publications

References 15 publications

DGNSS-Vision Integration for Robust and Accurate Relative Spacecraft Navigation

DGNSS-Vision Integration for Robust and Accurate Relative Spacecraft Navigation

A novel video stabilization method with global motion vector prediction and border region recovery

GPS-only, GLONASS-only and Combined GPS+GLONASS Absolute Positioning under Different Sky View Conditions

Contact Info

Product

Resources

About