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article

A fiducial-aided data fusion method for the measurement of multiscale complex surfaces

Shixiang Wang, Chi Fai Cheung, Mingyu Liu

The International Journal of Advanced Manufacturing Technology > 2019 > 103 > 1-4 > 1381-1389

Multiscale complex surfaces, possessing high form accuracy and geometric complexity, are widely used for various applications in fields such as telecommunications and biomedicines. Despite the development of multi-sensor technology, the stringent requirements of form accuracy and surface finish still present many challenges in their measurement and characterization. This paper presents a fiducial-aided...

article

Motor Health Status Prediction Method Based on Information from Multi-sensor and Multi-feature Parameters

Lizhi Wang, Yusheng Sun, Yidi He, Xuejiao Zhao, more

Journal of Nondestructive Evaluation > 2019 > 38 > 2 > 1-14

Health status prediction is of great significance for a motor system’s safe operation and lifecycle management. The object of this work is to achieve better information fusion performance for information obtained from X-, Y-, and Z-axial and existed in the multi-feature parameter, and therefore gain more comprehensively and effectively prediction results of health status. First, a UAV power motor...

article

Path planning of mobile robot based on multi-sensor information fusion

Ruixia Xu

EURASIP Journal on Wireless Communications and Networking > 2019 > 2019 > 1 > 1-8

Mobile robot is a very important branch of robotics. In practice, the performance of mobile robot is required to be higher and higher. It is required that mobile robot can adapt to different complex environments through its own intelligent system to achieve the established functional goals. Compared with traditional path planning with single sensor information, Kalman filter is used to fuse multi-sensor...

article

MACS-Mar: a real-time remote sensing system for maritime security applications

Jörg Brauchle, Steven Bayer, Daniel Hein, Ralf Berger, more

CEAS Space Journal > 2019 > 11 > 1 > 35-44

The modular aerial camera system (MACS) is a development platform for optical remote sensing concepts, algorithms and special environments. For real-time services for maritime security (EMSec joint project), a new multi-sensor configuration MACS-Mar was realized. It consists of four co-aligned sensor heads in the visible RGB, near infrared (NIR, 700–950 nm), hyperspectral (HS, 450–900 nm) and thermal...

article

Mobile robot positioning method based on multi-sensor information fusion laser SLAM

Zhi-Xiang Liu, Chun-Xue Xie, Miao Xie, Jun Mao

Cluster Computing > 2019 > 22 > 2 > 5055-5061

A mobile robot positioning method based on multi-sensor information fusion under wireless sensor network (WSNs), called HCKF algorithm, is proposed in this Article to improve the accuracy of mobile robot positioning method. Firstly, the degree of information fusion among sensors was measured according to differences in membership degree of certain Features in different sensor information under different...

article

3D AOA target tracking using distributed sensors with multi-hop information sharing

Sheng Xu, Kutluyıl Doğançay, Hatem Hmam

Signal Processing > 2018 > 144 > C > 192-200

This paper investigates the problem of angle-of-arrival (AOA) target tracking in the three-dimensional (3D) space using multiple distributed sensors. Some sensors cannot share information directly because of the communication distance constraint arising from the broadcast power limitation of communication equipment. This can lead to reduced estimation performance as a result of limited information...

article

Distributed Asynchronous Fusion Estimator for Stochastic Uncertain Systems With Multiple Sensors of Different Fading Measurement Rates

Shuli Sun, Fangfang Peng, Honglei Lin

IEEE Transactions on Signal Processing > 2018 > 66 > 3 > 641 - 653

This paper is concerned with the distributed fusion estimation problem for time-varying stochastic uncertain systems with multiple asynchronous sampling sensors of different fading measurement rates. Stochastic uncertainties of multiplicative noises exist in the state and measurement equations. The phenomena of fading measurements of different sensors are depicted by a group of stochastic variables...

article

Miniaturized multiparametric flexible platform for the simultaneous monitoring of ionic: Application in real urine

Ana Moya, Xavi Illa, Ignacio Gimenez, Yoskaly Lazo-Fernandez, more

Sensors and Actuators B: Chemical > 2018 > 255 > P3 > 2861-2870

Biomonitoring is a research topic that has largely relied on cell culture systems. Recently, the development of “Organ-on-a-Chip” (OC) platforms and the need for a continuous monitoring of these systems has increased its interest. However, the biomonitorization in these systems is still at its infancy due to the difficulty to adapt the sensors to microfluidic OC systems. In this work we have fabricated...

article

Intercomparison of surface energy fluxes, soil moisture, and evapotranspiration from eddy covariance, large-aperture scintillometer, and modeling across three ecosystems in a semiarid climate

Prasanth Valayamkunnath, Venkataramana Sridhar, Wenguang Zhao, Richard G. Allen

Agricultural and Forest Meteorology > 2018 > 248 > C > 22-47

A comprehensive seasonal and interannual energy partition and flux analyses were conducted to differentiate three ecosystems including sagebrush, cheatgrass, and lodgepole pine in the Snake River Plain of Idaho. The study used 3 years of eddy covariance (EC) and large aperture scintillometer (LAS) flux measurements to evaluate the bio-physical processes that control the surface energy partitioning...

article

Cross-calibration of reflective bands of major moderate resolution remotely sensed data

B. Zhong, A. Yang, S. Wu, J. Li, more

Remote Sensing of Environment > 2018 > 204 > C > 412-423

The major global biogeophysical products obtained from remote sensing are usually composites of 8 or 16days, and are almost always retrieved from a single sensor. Subsequently, the applications of these products are limited in cases requiring higher temporal frequency. With the increasing number of freely available moderate resolution remote sensing datasets, multi-sensor synergy to increase temporal...

article

Improving near-real time deforestation monitoring in tropical dry forests by combining dense Sentinel-1 time series with Landsat and ALOS-2 PALSAR-2

Johannes Reiche, Eliakim Hamunyela, Jan Verbesselt, Dirk Hoekman, more

Remote Sensing of Environment > 2018 > 204 > C > 147-161

Combining observations from multiple optical and synthetic aperture radar (SAR) satellites can provide temporally dense and regular information at medium resolution scale, independently of weather, season, and location. This has the potential to improve near real-time deforestation monitoring in dry tropical regions, where traditional optical only monitoring systems typically suffer from limited data...

article

Combining a Touch Probe and a Laser Sensor for 3D Part Inspection on CMM

Sif Eddine Sadaoui, Charyar Mehdi-Souzani, Claire Lartigue

Procedia CIRP > 2018 > 67 > C > 398-403

Path planning is a main concern for multi-sensor automated inspection. In this paper, a 3D scanner that combines a laser-sensor and a touch probe is used and mounted on the motorized head of a CMM. Due to this particularity, the path planning is defined in terms of scanner configurations, in which inspection features that could be measured by either the laser-sensor or the touch probe are clustered...

article

Pose alignment of aircraft structures with distance sensors and CCD cameras

Hua Liu, Weidong Zhu, Yinglin Ke

Robotics and Computer-Integrated Manufacturing > 2017 > 48 > C > 30-38

A precise transshipment system is developed for automatic transporting material between an automated guided vehicle (AGV) and a load transfer station. In order to implement the alignment of the fixture base on board the AGV with that of the station, it's necessary to measure the pose of the AGV with respect to the station. The pose measurement system combined four distance sensors with two CCD cameras,...

chapter

Convolutional Neural Network Approach for Mapping Arctic Vegetation Using Multi-Sensor Remote Sensing Fusion

Zachary L. Langford, Jitendra Kumar, Forrest M. Hoffman

2017 IEEE International Conference on Data Mining Workshops (ICDMW) > 322 - 331

2017 IEEE International Conference on Data Mining Workshops (ICDMW)

Accurate and high-resolution maps of vegetation are critical for projects seeking to understand the terrestrial ecosystem processes and land-atmosphere interactions in Arctic ecosystems, such as U.S. Department of Energy's Next Generation Ecosystem Experiment (NGEE) Arctic. However, most existing Arctic vegetation maps are at a coarse resolution and with a varying degree of detail and accuracy. Remote...

chapter

Multi-sensor tracking with non-overlapping field for the GLMB filter

Weifeng Liu, Yimei Chen, Hailong Cui, Quanbo Ge

2017 International Conference on Control, Automation and Information Sciences (ICCAIS) > 197 - 202

2017 International Conference on Control, Automation and Information Sciences (ICCAIS)

In this paper, we consider multi-sensor with non-overlapping radar field of view in the framework of labeled random finite sets (L-RFS). In this case, a target may be simultaneously observed by some of the sensors, or even none sensor. It is different from the existing assumption of all sensors with the same fields in tracking community. We first describe the field of view by modeling the detection...

chapter

A new method of multi-sensor data fusion

Xu Han, Huaijie Sheng

2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC) > 877 - 882

2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC)

For the problem of multi-sensor data fusion on the decision level, an evidence fusion method based on the modified support degree distribution method is proposed. First, starting from the viewpoint of classical evidence fusion formula, the reason why confidence paradox is generated is analyzed and the general rule of generating confidence paradox is achieved; second, with analysis of support degree...

article

Multi-sensor measurement system for robotic drilling

Andreas Frommknecht, Jens Kuehnle, Ira Effenberger, Sergej Pidan

Robotics and Computer-Integrated Manufacturing > 2017 > 47 > C > 4-10

In this paper we present a multi-sensor measurement system for robotic drilling. The system enables a robot to measure its 6D pose with respect to the work piece and to establish a reference coordinate system for drilling. The robot approaches the drill point and performs an orthogonal alignment with the work piece. Although the measurement systems are readily capable of achieving high position accuracy...

article

A multi-scale high-resolution analysis of global sea surface temperature

Toshio Michael Chin, Jorge Vazquez-Cuervo, Edward M. Armstrong

Remote Sensing of Environment > 2017 > 200 > C > 154-169

The Multi-scale Ultra-high Resolution (MUR) sea surface temperature (SST) analysis presents daily SST estimates on a global 0.01°×0.01° grid. The current version (Version 4.1, http://dx.doi.org/10.5067/GHGMR-4FJ04) features the 1-km resolution MODIS retrievals, which are fused with AVHRR GAC, microwave, and in-situ SST data by applying internal correction for relative biases among the data sets. Only...

article

Visible and infrared image registration based on region features and edginess

Yanjia Chen, Xiuwei Zhang, Yanning Zhang, Stephen John Maybank, more

Machine Vision and Applications > 2018 > 29 > 1 > 113-123

Visible and infrared image registration is required for multi-sensor fusion and cooperative processing. However, traditional single-sensor image registration methods are generally not feasible as multi-sensor images are often loosely related and show different properties in imaging. This paper presents a coarse-to-fine procedure for registering visible and infrared images based on stable region features...

article

Multiple dictionary pairs learning and sparse representation-based infrared image super-resolution with improved fuzzy clustering

Xiaomin Yang, Wei Wu, Kai Liu, Weilong Chen, more

Soft Computing > 2018 > 22 > 5 > 1385-1398

Exploring sparse representation to enhance the resolution of infrared image has attracted much attention in the last decade. However, conventional sparse representation-based super-resolution aim at learning a universal and efficient dictionary pair for image representation. However, considering that a large number of different structures exist in an image, it is insufficient and unreasonable to present...

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Search results

A fiducial-aided data fusion method for the measurement of multiscale complex surfaces

Motor Health Status Prediction Method Based on Information from Multi-sensor and Multi-feature Parameters

Path planning of mobile robot based on multi-sensor information fusion

MACS-Mar: a real-time remote sensing system for maritime security applications

Mobile robot positioning method based on multi-sensor information fusion laser SLAM

3D AOA target tracking using distributed sensors with multi-hop information sharing

Distributed Asynchronous Fusion Estimator for Stochastic Uncertain Systems With Multiple Sensors of Different Fading Measurement Rates

Miniaturized multiparametric flexible platform for the simultaneous monitoring of ionic: Application in real urine

Intercomparison of surface energy fluxes, soil moisture, and evapotranspiration from eddy covariance, large-aperture scintillometer, and modeling across three ecosystems in a semiarid climate

Cross-calibration of reflective bands of major moderate resolution remotely sensed data

Improving near-real time deforestation monitoring in tropical dry forests by combining dense Sentinel-1 time series with Landsat and ALOS-2 PALSAR-2

Combining a Touch Probe and a Laser Sensor for 3D Part Inspection on CMM

Pose alignment of aircraft structures with distance sensors and CCD cameras

Convolutional Neural Network Approach for Mapping Arctic Vegetation Using Multi-Sensor Remote Sensing Fusion

Multi-sensor tracking with non-overlapping field for the GLMB filter

A new method of multi-sensor data fusion

Multi-sensor measurement system for robotic drilling

A multi-scale high-resolution analysis of global sea surface temperature

Visible and infrared image registration based on region features and edginess

Multiple dictionary pairs learning and sparse representation-based infrared image super-resolution with improved fuzzy clustering

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