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IEEE Signal processing and Communications Applications (SIU)

作者： Utku Gündoğan Figen S. Oktem Orta Doğu Teknik Üniversitesi Ankara Türkiye

ISBN: (数字)9781728172064

ISBN: (纸本)9781728172071

Compressive spectral imaging is a technique that reconstructs the three-dimensional (3d) spectral data cube from limited number of two-dimensional (2d) measurements. In order to obtain this data cube, the technique makes use of the theory of compressed sensing, and employs both an optical and a computational system. However, this optical system can be designed with multiple variations. To evaluate the performance of different designs, there is a need for metrics that are reliable and fast to compute. Current metrics, that are used for this purpose, measure the imaging performance depending on the tested images, and also require long computation time. In this paper, a compressive spectral imaging system and its different variants are examined with the goal of finding an alternative metric. This system is contains a coded aperture and a photon sieve which is a type of diffractive lens. In order to analyze the performance of the system, two metrics that are based on condition number and a third one that is based on mutual coherence are used, and their results are comparatively examined. The results suggests that two of these metrics can be used to analyze the performance of the tested systems.

关键词： measurement Lenses Optical sensors Optical imaging Optical diffraction Two dimensional displays Three-dimensional displays

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measurement Based Statistical Channel Characterization of Air–to–Ground Path Loss Model at 446MHz for Narrow–Band Signals in Low Altitude UAVs

Measurement Based Statistical Channel Characterization of Ai...

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IEEE conference on Vehicular Technology (VTC)

作者： Burak Ede Serhan Yarkan Ali Riza Ekti Tunçer Baykaş Hakan Ali Çirpan Ali Görçin Informatics and Information Security Research Center (BİLGEM) TÜBİTAK Kocaeli Turkey Department of Electrical and Electronics Engineering Medipol University İstanbul Turkey Department of Electronics and Communication Engineering Istanbul Technical University İstanbul Turkey

ISBN: (数字)9781728152073

ISBN: (纸本)9781728140537

Powered by the advances in microelectronics technologies, unmanned aerial vehicles (UAVs) provide a vast variety of services ranging from surveillance to delivery in both military and civilian domains. It is clear that a successful operation in those services relies heavily on wireless communication technologies. Even though wireless communication techniques could be considered to reach a certain level of maturity, wireless communication links including UAVs should be regarded in a different way due to the peculiar characteristics of UAVs such as agility in 3d spatial domain and versatility in modes of operation. Such mobility characteristics in a vast variety of environmental diversity render links including UAVs different from those in traditional, terrestrial mobility scenarios. Furthermore, UAVs are critical instruments for network operators in order to provide basic voice and short messaging services for narrow band communication in and around disaster areas. It is obvious that such widespread use of UAVs under different scenarios and environments requires a better understanding the behavior of the communication links that include UAVs. Therefore, in this study, details of a measurement campaign designed to collect data for large-scale propagation characterization of air-to-ground links operated by UAVs at 446MHz under narrowband assumption are given. data collection, post-processing, and measurement results are provided.

关键词： Loss measurement Wireless communication Sea measurements Frequency measurement Antenna measurements UHF measurements Finite impulse response filters

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Large-Scale Volumetric Scene Reconstruction using LidAR

Large-Scale Volumetric Scene Reconstruction using LiDAR

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IEEE International conference on Robotics and Automation (ICRA)

作者： Tilman Kühner Julius Kümmerle Research Department "Mobile Perception Systems" FZI Research Center for Information Technology Karlsruhe Germany

ISBN: (数字)9781728173955

ISBN: (纸本)9781728173962

Large-scale 3d scene reconstruction is an important task in autonomous driving and other robotics applications as having an accurate representation of the environment is necessary to safely interact with it. Reconstructions are used for numerous tasks ranging from localization and mapping to planning. In robotics, volumetric depth fusion is the method of choice for indoor applications since the emergence of commodity RGB-d cameras due to its robustness and high reconstruction quality. In this work we present an approach for volumetric depth fusion using LidAR sensors as they are common on most autonomous cars. We present a framework for large-scale mapping of urban areas considering loop closures. Our method creates a meshed representation of an urban area from recordings over a distance of 3.7km with a high level of detail on consumer graphics hardware in several minutes. The whole process is fully automated and does not need any user interference. We quantitatively evaluate our results from a real world application. Also, we investigate the effects of the sensor model that we assume on reconstruction quality by using synthetic data.

关键词： Three-dimensional displays Laser radar Image reconstruction Graphics processing units Sensor fusion Weight measurement

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Structure-Guided Ranking Loss for Single Image depth Prediction

Structure-Guided Ranking Loss for Single Image Depth Predict...

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conference on Computer Vision and Pattern Recognition (CVPR)

作者： Ke Xian Jianming Zhang Oliver Wang Long Mai Zhe Lin Zhiguo Cao National Key Laboratory of Science and Technology on MultiSpectral Information Processing School of Artificial Intelligence and Automation Huazhong University of Science and Technology China Adobe Research

ISBN: (数字)9781728171685

ISBN: (纸本)9781728171692

Single image depth prediction is a challenging task due to its ill-posed nature and challenges with capturing ground truth for supervision. Large-scale disparity data generated from stereo photos and 3d videos is a promising source of supervision, however, such disparity data can only approximate the inverse ground truth depth up to an affine transformation. To more effectively learn from such pseudo-depth data, we propose to use a simple pair-wise ranking loss with a novel sampling strategy. Instead of randomly sampling point pairs, we guide the sampling to better characterize structure of important regions based on the low-level edge maps and high-level object instance masks. We show that the pair-wise ranking loss, combined with our structure-guided sampling strategies, can significantly improve the quality of depth map prediction. In addition, we introduce a new relative depth dataset of about 21K diverse high-resolution web stereo photos to enhance the generalization ability of our model. In experiments, we conduct cross-dataset evaluation on six benchmark datasets and show that our method consistently improves over the baselines, leading to superior quantitative and qualitative results.

关键词： Image edge detection Training Three-dimensional displays Sensors Task analysis Videos measurement

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Comparison of different measurement methods of crane runway 11

Comparison of different measurement methods of crane runway

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11th International Scientific and Technical conference on Geodesy, Cartography and Geoinformatics, GCG 2019

作者： Braun, J. Fladrova, H. Prager, K. Department of Special Geodesy Faculty of Civil Engineering CTU in Prague Prague Czech Republic

ISBN: (纸本)9780367346515

The aim of the paper is to introduce the surveying and evaluating the historic crane runway in the Karany water treatment plant. The crane runway was built in 1911 and is operated to the present without any major modifications. The aim of the geodetic survey was the control of the directional and vertical straightness of rails and the rail gauge. Accuracy analyzes and deviations evaluation were performed in accordance with technical standard CSN 73 5130. The runway was measured by two different methods. The first method was measurement in the local geodetic network with three standpoints. Automatic targeting to prisms was used, and the least squares adjustment was performed. The second method of measurement was laser scanning by multistation Leica MS60 from 14 standpoints and then evaluation of the point cloud and determination the parameters of the crane runway. Comparable results were obtained from both methods. © 2020 Taylor & Francis Group, London.

关键词： Crane runways

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An Adaptive 3d Grid-Based Clustering Algorithm for Automotive High Resolution Radar Sensor

An Adaptive 3D Grid-Based Clustering Algorithm for Automotiv...

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IEEE International conference on Vehicular Electronics and Safety (ICVES)

作者： Li, Mingkang Stolz, Martin Feng, Zhaofei Kunert, Martin Henze, Roman Kuecuekay, Ferit Robert Bosch GmbH Adv Engn Sensor Syst Leonberg Germany Tech Univ Carolo Wilhelmina Braunschweig Inst Automot Engn Braunschweig Germany

ISBN: (纸本)9781538635438

Novel automotive high resolution radar sensors can detect several thousands of reflection points from the surrounding environment, e.g. pedestrians, cyclists, vehicles and roadside infrastructure. For object classification and tracking, the detection points belonging to the same object shall be clustered into one group before further processing. This paper presents an adaptive clustering approach based on a range/angle/velocity-grid generated originally from the radar signal processing and angle estimation stage. In contrast to an x/y-approach, multiple reflection points will not be merged into one single grid cell at close ranges, but keep their individual information in different assigned grid cells. A time and storage efficient process with a clustering window according to grid indices is implemented to search for the points with similarity in all three dimensions. In order to eliminate the parameter dependency and the incorrect clustering due to uncertainties of real radar measurements, this approach is extended with a model-based clustering window depending on the tracked and estimated object contour. By validation with various measurement data, stable clustering results with almost perfect true positive rates are achieved independently of the prevailing parameters and object types.

关键词： clustering automotive radar 3d grid high resolution dBSCAN environmental perception object tracking imaging radar

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3d modeling of buried site ngempon temple, bergas, semarang regency using HVSR method

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Journal of Physics: conference Series 2020年第1期1524卷

作者： G Yuliyanto Physics Department Faculty of Sciences and Math Diponegoro University

This study aims to model the Ngempon Temple that is still buried under the surface using the microtremor method with HVSR data processing. The measurement geometry consists of 39 points forming a rectangular grid with a measurement spacing of 2 m. The duration of data collection was 10 minutes for each point and the sampling frequency was 150 Hz. The results obtained from this study indicate the location of the temple site and subsurface 3d models of the temple site which are characterized by a frequency range of 1.28-1.32 Hz and amplification of 1.275.

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High-precision 3d real scene model construction method based on air-ground data combination

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IOP conference Series: Earth and Environmental Science 2020年第4期570卷

作者： Fei Yang Chengrong Ma Bowen Zhang Xuannan Chen Li Cao Changhong Li Yongliang Huang Department of Civil Engineering Shaoxing University Shaoxing 312000 Zhejiang People's Republic of China Zhejiang Collaborative Innovation Center for Prevention and Control of Mountain Geologic Hazards Zhejiang Geological Prospecting Industry Group Co. LTD 160 Renmin Zhong Lu Yuecheng District Shaoxing 312000 China Zhejiang Bureau of Nonferrous Metal Geological Exploration 160 Renmin Zhong Lu Yuecheng District Shaoxing 312000 China

due to low efficiency, low accuracy, and difficulty in intuitively realizing the real geological conditions for spatial data acquisition on mines and slopes, this study proposes the use of a 3d modeling method based on a combination of air and ground data. The method is based on Unmanned Air View (UAV) tilt photogrammetry data. In this article, 3d terrestrial laser scanning point cloud data is used as a supporting technique via control points to spatially fuse and improve the accuracy of the UAV tilt photogrammetry 3d model. This study uses the feature points to adjust the interior point coordinates of the UAV tilt photogrammetry 3d model. The application results show that the mining site model established by this method has high precision and processing efficiency. It can also display the overall characteristics of mines and provide a scientific basis for mining, exploration, measurement, and effective evaluation of slope stability.

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Investigation of Stair detection and Recognition based on Signal processing of 1d-LidAR Sensor 32

Investigation of Stair Detection and Recognition based on Si...

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32nd conference of the International-Business-Information-Management-Association (IBIMA)

作者： Medhioub, Mouna Ammar Bouhamed, Sonda Khanfir Kallel, Imene derbel, Nabil Kanoun, Olfa Univ Sfax Natl Engn Sch Sfax Elect Dept Sfax Tunisia Tech Univ Chemnitz Measurement & Sensor Technol Chemnitz Germany IMT Atlantique Technopole Brest Brest France

ISBN: (纸本)9780999855119

The detection and the recognition of stair cases is a crucial task. Generally, such application requires a powerful sensor to send relevant information allowing a thorough analysis of the environment. Much research is based on the costly 2d/3d LidAR system. However, in this paper, we propose a new low-cost electronic system based on 1d-LidAR (LIght detection and Ranging), as well as a detection and recognition process of stairs based on possibilistic modeling of laser wave. The 1d LidAR sensor may prove to be an efficient depth sensor for stair detection and recognition in both indoor and outdoor environmental conditions. The Low-cost, small size and high accuracy of the system present the main challenge to our task. As there is no affording dataset of laser signals acquired for stair detection and recognition, we are required to develop our own dataset using 1d-LidAR. In this context, no previous work has considered such a challenge.

关键词： Laser Wave LIdAR data processing Stair recognition Low-cost System

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The Effect of Parameters on the Process of Making Objects with Rapid Prototyping digital Light processing Technology on the Bending Stress

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Journal of Physics: conference Series 2020年第1期1500卷

作者： Romli d Seprianto dP Putra Zamheri M Rasid Mechanical Engineering Department State Polytechnic of Sriwijaya Indonesia

The world is currently entering the era of the industrial revolution of 4.0. The era in which the occurrence of disruptive technology. The main purpose of this existence of the industrial revolution to create stability in the distribution of goods and necessities. Broadly speaking, there are some benefits that can be posed by the presence of the industrial revolution 4.0 is encouraging research, customization, and optimization. In addition, there are several challenges to be faced in the industrial revolution was the first IE 4.0 security, the second is the capital, and then a third that is employment, and the fourth is privacy. A method that can respond to these challenges is additive manufacturing using SLA-dLP 3d Printing. The making of objects utilizing CAd data that have been made in advance. This research aims to know the effect of object making process parameters with digital light processing rapid prototyping technology on bending stress. The parameters investigated is the layer thickness and the exposure time. Test specimens made of a material with liquid photopolymer resin refer to ASTM d 790 using SLA-dLP 3d Printer. measurement results in data analysis using ANOVA design with type 2 factorial design model and level 1 factorial interactions assisted by software design Expert trial version. The results of the ANOVA is known that factors significantly (α = 0.001), to effect of object making process parameters with digital light processing rapid prototyping technology on bending stress., that are the layer thickness=10%, exposure time=2%, interaction layer thickness and exposure time=87%.

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