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A visual gyroscope is a device which estimates camera 3D rotation using image input, in our case a monocular video. Contrary to traditional Structure-From-Motion (SFM) or visual SLAM, we address the case where only the rotation must be found, whereas no translation estimate is desired. That case can be solved without computing an explicit 3D map of the environment, thus avoiding computationally expensive...
A scheme to improve the indoor localization by estimating heading orientation and step detection is proposed for smartphones. The accuracy can be improved with weighting factors to the accelerometer and gyroscope using the motion estimator.
Indoor localization scheme using sensor networks is expected to be applied in various fields, and the localization scheme using time of arrival (TOA) is well-known. However, the estimation accuracy of TOA localization is severely deteriorated in non-line-of-sight (NLOS) environments, and the NLOS mitigation scheme such as iterative minimum residual (IMR) scheme is required. The IMR scheme is often...
The major issue of indoor localization system is the trade-off between implementation cost and accuracy. A low-cost system which demands only few hardware devices could save the cost but often it turns out to be less reliable. Aiming at improving classical triangulation method that requires several reference points, this paper proposes a new method, called Two-Step Movement (2SM), which requires only...
This paper investigates how correlating cross-domain big data from the lightning surge and the traveling wave measurements in time and space can be used to improve fault location accuracy. The integration and correlation of big data in time and space using Global Positioning System and Geographic Information System respectively improves knowledge about faults on transmission lines caused by lightning...
The urban road traffic flow condition prediction is a fundamental issue in the intelligent transportation management system. While extracting the high-dimensional, nonlinear and random features of the transportation network is a challenge, which is very useful to improve the accuracy of traffic prediction. In this paper, we propose DeepSense, a novel deep temporal-spatial traffic flow feature learning...
Android smart phone can be used in ITS (Intelligent Transportation Systems) to obtain people and vehicle’s location since it is integrated with GPS, direction sensor and acceleration sensor. Because the GPS built in smart phone always has an error of dozens of meters, improving the positioning accuracy is necessary before introducing it into ITS. This paper proposed an approach to improve the accuracy...
With the continuous development and improvement of GNSS, the multi-constellation will be the main navigation mode in the future. Dilution of precision (DOP) has been widely used as an accuracy metric and for navigation and tracking systems. Properties of DOP in multi-constellation are one of the crucial elements to be studied. In this paper, theoretical analysis and simulation has been made in GDOP...
Differential Global Positioning System (DGPS) is a technique to improve the accuracy of the GPS positioning. In DGPS, error correction signal is transmitted to the surrounding rovers. Any correction loss during transmission may lead to navigation inaccuracy. This problem can be minimized by incorporating Dynamic Neural Networks (DNNs) at the rovers. DNNs can be used to predict the present and future...
Signal structure is critical to the inherent performance of global navigation satellite system (GNSS), and it is one of decisive factors which must be investigated during system designing and upgrading course. This paper presents a kind of performance evaluation method, and evaluates the COMPASS B2 signal performance. Received performance was compared with GPS and Galileo in five aspects include the...
The Pan-Tilt Unit (PTTJ) and camera composed a vision system, which can be used in vision measurement. In this paper, a new calibration method for this vision system using differential GPS (global positioning system) is described. The calibration method is an efficient solution for large field of view. The proposed method has advantages in speed, convenience and pertinence. The experimental results...
GPS L2C signal is one of the modernized GPS civilian signals. With respect to GPS L1 C/A signal, L2C signal is more robust in harsh environment, since its tracking threshold would be lower by taking the advantage of new designed pilot channel. Up to now, some of current tracking methods are only based on the pilot channel or data channel of L2C signal and discard the other, which results in 50% power...
Train Traffic Optimization System is a research targeting to seek a solution to minimize train delays and maximize train productivity in Srilanka Railways. Main purpose of the research is to find out feasible heuristic algorithm for train traffic optimization. Time table generation and application of evolutionary computing to solve above problem is another consideration of the research. This research...
Error correction is capable of enhancing the accuracy and validity of positioning, thus is attractive to utilize it for sensor positioning network. Considering the high accuracy feature of error correction, this paper provides a novel sensor positioning algorithm named ECL (An extended centroid localization algorithm based on error correction), which greatly improves the positioning accuracy. By analyzing...
Global Positioning System (GPS) is the emerging technology extending its applications in the field of surveying, navigation, military etc., and these applications demands multiple levels of accuracy ranging from tens of meters to sub-millimetre level. Hence there is a need to develop systems, methods and a technique to meet the demand of high accuracy.GPS provides its services in two different standards,...
With the discontinuity of Selective Availability (SA) by U.S government, obtaining accuracies upto tens of meters by GPS system became simpler. Though the performance level reached to millimeter level accuracy, it is only restricted to military domains and is provided under Precise Positioning Service (PPS) standards. The two different GPS services include PPS and Standard Positioning Service (SPS)...
Stable and accuracy localization has crucial importance on the success of autonomous navigation of robotic ground vehicles. In this paper, we present a landmark-based sensor fusion localization method that utilizes artificial landmarks, a cheap GPS sensor, and wheel odometry. We describe overall architecture of the proposed localization system and technical details of landmark-based localization algorithm...
Visually impaired people have difficulty in walking freely because of the obstacles or the stairways along their walking paths, which can lead to accidental falls. Many researchers have devoted to promoting safe walking for visually impaired people by using smartphones and computer vision. In this research we propose an alternative approach to achieve the same goal - we take advantage of the power...
Texas A&M University Corpus-Christi is undergoing a major university expansion on its island campus. The university's Conrad Blucher Institute for Surveying and Science was tasked with providing the spatial information needs related to this expansion. To meet this objective, a small-scale Unmanned Aircraft System (UAS) equipped with a small-format digital camera is utilized to acquire aerial imagery...
Digital Elevation Model (DEM) is a numerical representation of topography and is made up of equal-sized grid cells, each with a value of elevation. The DEMs that were generated from the spot heights by general interpolation techniques namely Inverse Distance Weighted (IDW), Kriging, Topo to Raster, Natural Neighbor (NN) and Spline approaches have been compared. The relative performance of each method...
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