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Relevant bibliographies by topics / Object properties estimation

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Academic literature on the topic 'Object properties estimation'

Author: Grafiati

Published: 20 April 2024

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Journal articles on the topic "Object properties estimation"

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El-Dawy, Ahmed, Amr El-Zawawi, and Mohamed El-Habrouk. "MonoGhost: Lightweight Monocular GhostNet 3D Object Properties Estimation for Autonomous Driving." Robotics 12, no. 6 (2023): 155. http://dx.doi.org/10.3390/robotics12060155.

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Effective environmental perception is critical for autonomous driving; thus, the perception system requires collecting 3D information of the surrounding objects, such as their dimensions, locations, and orientation in space. Recently, deep learning has been widely used in perception systems that convert image features from a camera into semantic information. This paper presents the MonoGhost network, a lightweight Monocular GhostNet deep learning technique for full 3D object properties estimation from a single frame monocular image. Unlike other techniques, the proposed MonoGhost network first

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Yang, Hua, Takeshi Takaki, and Idaku Ishii. "Simultaneous Dynamics-Based Visual Inspection Using Modal Parameter Estimation." Journal of Robotics and Mechatronics 23, no. 1 (2011): 180–95. http://dx.doi.org/10.20965/jrm.2011.p0180.

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In this study, we introduce the concept of dynamicsbased visual inspection with High-Frame-Rate (HFR) video analysis as a novel non-destructive active sensing method for verifying dynamic properties of a vibrating object. The HFR video is used for determining the structural dynamic properties of an object, such as its resonant frequencies and mode shapes, which can be estimated as modal parameters by modal analysis only when the object is excited. By improving and implementing a fast output-only modal parameter estimation algorithm on a real-time 2000-fps vision platform, the modal parameters

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Mavrovouniotis, Michael L., Suzanne Prickett, and Leonidas Constantinou. "Object-oriented estimation of properties from molecular structure." Computers & Chemical Engineering 16 (May 1992): S353—S360. http://dx.doi.org/10.1016/s0098-1354(09)80042-2.

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Tang, Jie, and Jian Li. "End-to-End Monocular Range Estimation for Forward Collision Warning." Sensors 20, no. 20 (2020): 5941. http://dx.doi.org/10.3390/s20205941.

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Estimating range to the closest object in front is the core component of the forward collision warning (FCW) system. Previous monocular range estimation methods mostly involve two sequential steps of object detection and range estimation. As a result, they are only effective for objects from specific categories relying on expensive object-level annotation for training, but not for unseen categories. In this paper, we present an end-to-end deep learning architecture to solve the above problems. Specifically, we represent the target range as a weighted sum of a set of potential distances. These

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Imran, Abid, Sang-Hwa Kim, Young-Bin Park, Il Hong Suh, and Byung-Ju Yi. "Singulation of Objects in Cluttered Environment Using Dynamic Estimation of Physical Properties." Applied Sciences 9, no. 17 (2019): 3536. http://dx.doi.org/10.3390/app9173536.

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This paper presents a scattering-based technique for object singulation in a cluttered environment. An analytical model-based control scattering approach is necessary for controlled object singulation. Controlled scattering implies achieving the desired distances between objects after collision. However, current analytical approaches are limited due to insufficient information of the physical environment properties, such as the coefficient of restitution, coefficient of friction, and masses of objects. In this paper, this limitation is overcome by introducing a technique to learn these paramet

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Heczko, Dominik, Petr Oščádal, Tomáš Kot, et al. "Finding the Optimal Pose of 2D LLT Sensors to Improve Object Pose Estimation." Sensors 22, no. 4 (2022): 1536. http://dx.doi.org/10.3390/s22041536.

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In this paper, we examine a method for improving pose estimation by correctly positioning the sensors relative to the scanned object. Three objects made of different materials and using different manufacturing technologies were selected for the experiment. To collect input data for orientation estimation, a simulation environment was created where each object was scanned at different poses. A simulation model of the laser line triangulation sensor was created for scanning, and the optical surface properties of the scanned objects were set to simulate real scanning conditions. The simulation wa

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Coenen, M., F. Rottensteiner, and C. Heipke. "DETECTION AND 3D MODELLING OF VEHICLES FROM TERRESTRIAL STEREO IMAGE PAIRS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1/W1 (May 31, 2017): 505–12. http://dx.doi.org/10.5194/isprs-archives-xlii-1-w1-505-2017.

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The detection and pose estimation of vehicles plays an important role for automated and autonomous moving objects e.g. in autonomous driving environments. We tackle that problem on the basis of street level stereo images, obtained from a moving vehicle. Processing every stereo pair individually, our approach is divided into two subsequent steps: the vehicle detection and the modelling step. For the detection, we make use of the 3D stereo information and incorporate geometric assumptions on vehicle inherent properties in a firstly applied generic 3D object detection. By combining our generic de

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Papadaki, Alexandra, and Maria Pateraki. "6D Object Localization in Car-Assembly Industrial Environment." Journal of Imaging 9, no. 3 (2023): 72. http://dx.doi.org/10.3390/jimaging9030072.

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In this work, a visual object detection and localization workflow integrated into a robotic platform is presented for the 6D pose estimation of objects with challenging characteristics in terms of weak texture, surface properties and symmetries. The workflow is used as part of a module for object pose estimation deployed to a mobile robotic platform that exploits the Robot Operating System (ROS) as middleware. The objects of interest aim to support robot grasping in the context of human–robot collaboration during car door assembly in industrial manufacturing environments. In addition to the sp

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Zarepour, Mohammad Saleh. "AVICENNA ON GRASPING MATHEMATICAL CONCEPTS." Arabic Sciences and Philosophy 31, no. 1 (2021): 95–126. http://dx.doi.org/10.1017/s0957423920000090.

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AbstractAccording to Avicenna, some of the objects of mathematics exist and some do not. Every existing mathematical object is a non-sensible connotational attribute of a physical object and can be perceived by the faculty of estimation. Non-existing mathematical objects can be represented and perceived by the faculty of imagination through separating and combining parts of the images of existing mathematical objects that are previously perceived by estimation. In any case, even non-existing mathematical objects should be considered as properties of material entities. They can never be grasped

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Freitas, Vander Luis de Souza, Barbara Maximino da Fonseca Reis, and Antonio Maria Garcia Tommaselli. "AUTOMATIC SHADOW DETECTION IN AERIAL AND TERRESTRIAL IMAGES." Boletim de Ciências Geodésicas 23, no. 4 (2017): 578–90. http://dx.doi.org/10.1590/s1982-21702017000400038.

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Abstract: Shadows exist in almost all aerial and outdoor images, and they can be useful for estimating Sun position estimation or measuring object size. On the other hand, they represent a problem in processes such as object detection/recognition, image matching, etc., because they may be confused with dark objects and change the image radiometric properties. We address this problem on aerial and outdoor color images in this work. We use a filter to find low intensities as a first step. For outdoor color images, we analyze spectrum ratio properties to refine the detection, and the results are

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Dissertations / Theses on the topic "Object properties estimation"

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Fathollahi, Ghezelghieh Mona. "Estimation of Human Poses Categories and Physical Object Properties from Motion Trajectories." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/6835.

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Despite the impressive advancements in people detection and tracking, safety is still a key barrier to the deployment of autonomous vehicles in urban environments [1]. For example, in non-autonomous technology, there is an implicit communication between the people crossing the street and the driver to make sure they have communicated their intent to the driver. Therefore, it is crucial for the autonomous car to infer the future intent of the pedestrian quickly. We believe that human body orientation with respect to the camera can help the intelligent unit of the car to anticipate the future mo

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Pandharkar, Rohit (Rohit Prakash). "Hidden object doppler : estimating motion, size and material properties of moving non-line-of-sight objects in cluttered environments." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/67783.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 111-117).<br>The thesis presents a framework for Non-Line-of-Sight Computer Vision techniques using wave fronts. Using short-pulse illumination and a high speed time-of-flight camera, we propose algorithms that use multi path light transport analysis to explore the environments beyond line of sight. What is moving around the corner interests everyone including a driver taking a tu

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Chareyre, Maxime. "Apprentissage non-supervisé pour la découverte de propriétés d'objets par découplage entre interaction et interprétation." Electronic Thesis or Diss., Université Clermont Auvergne (2021-...), 2023. http://www.theses.fr/2023UCFA0122.

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Les robots sont de plus en plus utilisés pour réaliser des tâches dans des environnements contrôlés. Leur utilisation en milieu ouvert est cependant encore confrontée à des difficultés. L'agent robotique est en effet susceptible de rencontrer des objets dont il ignore le comportement et la fonction. Dans certains cas, il doit interagir avec ces éléments pour réaliser sa mission en les collectant ou en les déplaçant mais, sans la connaissance de leurs propriétés dynamiques il n'est pas possible de mettre en place une stratégie de résolution de la mission efficace.Dans cette thèse, nous présento

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Taati, BABAK. "Generation and Optimization of Local Shape Descriptors for Point Matching in 3-D Surfaces." Thesis, 2009. http://hdl.handle.net/1974/5107.

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We formulate Local Shape Descriptor selection for model-based object recognition in range data as an optimization problem and offer a platform that facilitates a solution. The goal of object recognition is to identify and localize objects of interest in an image. Recognition is often performed in three phases: point matching, where correspondences are established between points on the 3-D surfaces of the models and the range image; hypothesis generation, where rough alignments are found between the image and the visible models; and pose refinement, where the accuracy of the initial alignments

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Book chapters on the topic "Object properties estimation"

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Bader, Markus. "Chapter 2. How free is the position of German object pronouns?" In Studies in Language Companion Series. John Benjamins Publishing Company, 2023. http://dx.doi.org/10.1075/slcs.234.02bad.

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Corpus studies show that weak object pronouns in German directly precede or follow the subject, depending on properties of the subject, including weight, animacy and thematic role. Whether the same factors also affect the acceptability of sentences with object pronouns was investigated in three magnitude-estimation experiments. The results show that both orders (object pronoun before/after subject) are highly acceptable, with some small acceptability differences depending on weight, animacy and thematic roles. Based on these results, the hypothesis is advanced that the position of weak object pronouns in German relative to the subject is an instance of free variation within the grammar but choosing a specific order during language production follows general production preferences and is thus not random.

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Yao, Wei, and Jianwei Wu. "Airborne LiDAR for Detection and Characterization of Urban Objects and Traffic Dynamics." In Urban Informatics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_22.

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AbstractIn this chapter, we present an advanced machine learning strategy to detect objects and characterize traffic dynamics in complex urban areas by airborne LiDAR. Both static and dynamical properties of large-scale urban areas can be characterized in a highly automatic way. First, LiDAR point clouds are colorized by co-registration with images if available. After that, all data points are grid-fitted into the raster format in order to facilitate acquiring spatial context information per-pixel or per-point. Then, various spatial-statistical and spectral features can be extracted using a cuboid volumetric neighborhood. The most important features highlighted by the feature-relevance assessment, such as LiDAR intensity, NDVI, and planarity or covariance-based features, are selected to span the feature space for the AdaBoost classifier. Classification results as labeled points or pixels are acquired based on pre-selected training data for the objects of building, tree, vehicle, and natural ground. Based on the urban classification results, traffic-related vehicle motion can further be indicated and determined by analyzing and inverting the motion artifact model pertinent to airborne LiDAR. The performance of the developed strategy towards detecting various urban objects is extensively evaluated using both public ISPRS benchmarks and peculiar experimental datasets, which were acquired across European and Canadian downtown areas. Both semantic and geometric criteria are used to assess the experimental results at both per-pixel and per-object levels. In the datasets of typical city areas requiring co-registration of imagery and LiDAR point clouds a priori, the AdaBoost classifier achieves a detection accuracy of up to 90% for buildings, up to 72% for trees, and up to 80% for natural ground, while a low and robust false-positive rate is observed for all the test sites regardless of object class to be evaluated. Both theoretical and simulated studies for performance analysis show that the velocity estimation of fast-moving vehicles is promising and accurate, whereas slow-moving ones are hard to distinguish and yet estimated with acceptable velocity accuracy. Moreover, the point density of ALS data tends to be related to system performance. The velocity can be estimated with high accuracy for nearly all possible observation geometries except for those vehicles moving in or (quasi-)along the track. By comparative performance analysis of the test sites, the performance and consistent reliability of the developed strategy for the detection and characterization of urban objects and traffic dynamics from airborne LiDAR data based on selected features was validated and achieved.

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Ivanov, Sergey S. "“Counter—Scaling” Method for Estimation of Fractal Properties of Self—Affine Objects." In Fractals and Dynamic Systems in Geoscience. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-662-07304-9_30.

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Fugl, Andreas Rune, Andreas Jordt, Henrik Gordon Petersen, Morten Willatzen, and Reinhard Koch. "Simultaneous Estimation of Material Properties and Pose for Deformable Objects from Depth and Color Images." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32717-9_17.

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Sidorkina, Irina, and Aleksey Rуbakov. "Creating Model of E-Course." In Handbook of Research on Estimation and Control Techniques in E-Learning Systems. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9489-7.ch019.

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Modern educational systems function is as a medium for rapid analysis of shared information (FASMI), which defines information as analytical. The chapter shows the purpose of such analysis systems: work with distributed data in global computer networks, production and processing of semi structured information and knowledge. The purpose of this chapter based on last publications professors Irina Sidorkina (Volga State University of Technology) and Vardan Mkrttchian (HHH University) create model and program of Development E-course – as an object of Computer – Aided Design (CAD). The development of the methods and programming tools of synthesis of the new design object combining the record of optimization criteria, adaptive and intelligent components of design, distributed information processing and the Internet-based interaction creates favorable conditions for automation and adds new system properties to the present-day CAD. Dr. Alexey Rybakov (Omega-R Inc.) was a designing a software on the subject of this chapter.

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Dospisil, Jana. "Software Metrics, Information and Entropy." In Practicing Software Engineering in the 21st Century. IGI Global, 2003. http://dx.doi.org/10.4018/978-1-93177-750-6.ch009.

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This chapter describes the foundation and properties of object-oriented software measures. Many software measures for object-oriented applications have been developed and tested in the development environment. However, the process of defining new measures is still alive. The reason for such development lies in difficulties associated with understanding and maintaining object-oriented applications. It is still difficult to relate the measures to the phenomena we want to improve. Do our measurements indicate problems in reliability, maintenance, or too much complexity of some portions of the application? In order to reduce the complexity of software, new development methodologies and tools are being introduced. An example of the new approach to development is separation of concern. The tools, such as Aspect/J (Kiezales et al., 1997) or Hyper/J (Ossher & Tarr, 1998), facilitate the development process. There does not seem to be a sound metrics suite to measure complexity and efficiency of applications developed and coded with Aspect/J or Hyper/J. In this chapter, we attempt to review the current research into object-oriented software metrics and suggest theoretical framework for complexity estimation and ranking of compositional units in object-oriented applications developed with Hyper/J.

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Chernyshenko, Serge V. "Design of Avatars With “Differential” Logic." In Avatar-Based Control, Estimation, Communications, and Development of Neuron Multi-Functional Technology Platforms. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1581-5.ch006.

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The chapter is devoted to the analysis of possibilities in designing dynamic properties of avatars in multi-agent systems. It is shown that determination of “differential logic” of avatars, based on the use of differential equations, gives sufficient flexibility in describing their behavior over time. At the same time, the differential description usually involves a smooth response of the object to external or internal influences, which for avatars is usually not correct. To eliminate this weak point, it is proposed to use the technology of internal bifurcations, which allows to simulate discontinues effects in the avatar dynamics. It is shown that even when using relatively simple quadratic models of the Lotka-Volterra type, the technique allows to describe rather complex information interactions in the multi-agent systems.

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"Probability and Statistics." In Examining an Operational Approach to Teaching Probability. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3871-5.ch009.

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Statistics and probability both fall within the broader scope of the theory of random phenomena. The first deals with providing probability distributions adaptable to the various real random phenomena, and the second deals very often with a random sample to describe its properties or infer to the underlying probabilistic model and the estimation of its parameters. The chapter tries to show this connection by reporting examples that are more or less known but that are characterized by being unconventional. Other objects could have been taken into consideration but those chosen are characterized by a closer link with the calculation of probabilities.

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Connolly, Andrew J., Jacob T. VanderPlas, Alexander Gray, Andrew J. Connolly, Jacob T. VanderPlas, and Alexander Gray. "Classification." In Statistics, Data Mining, and Machine Learning in Astronomy. Princeton University Press, 2014. http://dx.doi.org/10.23943/princeton/9780691151687.003.0009.

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Chapter 6 described techniques for estimating joint probability distributions from multivariate data sets and for identifying the inherent clustering within the properties of sources. This approach can be viewed as the unsupervised classification of data. If, however, we have labels for some of these data points (e.g., an object is tall, short, red, or blue) we can utilize this information to develop a relationship between the label and the properties of a source. We refer to this as supervised classification, which is the focus of this chapter. The motivation for supervised classification comes from the long history of classification in astronomy. Possibly the most well known of these classification schemes is that defined by Edwin Hubble for the morphological classification of galaxies based on their visual appearance. This chapter discusses generative classification, k-nearest-neighbor classifier, discriminative classification, support vector machines, decision trees, and evaluating classifiers.

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Gouda, Maha, Mostafa Atiaa, and Omar Abdel-Kareem. "Investigation and Analysis of Ancient Dyed Textiles." In Preservation and Restoration Techniques for Ancient Egyptian Textiles. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-4811-0.ch005.

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A material investigation is a very important step in the documentation of the component's properties for materials of an object, in estimating its condition, and in considering appropriate conservation treatments. Textile fibers are the fundamental unit of material that makes up fabrics and textiles. Fibers are frequently classed as either natural or man-made, though there are also several categories and sub-types. Natural fibers are further categorized based on their origin (vegetable, animal, or mineral). According to that, this chapter deals with investigation methods for both main components of ancient textiles, fibers, and dyes; as the analysis of the materials utilized in textile dyeing could also be a valuable tool to know how an object originally looked, how old it is, and where it comes from. This data allows conservators to settle on appropriate procedures for restoration and dating textiles depending upon its manufacturing discovery date and its type of dye.

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Conference papers on the topic "Object properties estimation"

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Avant, Trevor, and Kristi A. Morgansen. "Observability Properties of Object Pose Estimation." In 2019 American Control Conference (ACC). IEEE, 2019. http://dx.doi.org/10.23919/acc.2019.8814791.

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Liu, T., A. Klotzsche, M. Pondkule, H. Vereecken, J. van der Kruk, and Y. Su. "Estimation of subsurface cylindrical object properties from GPR full-waveform inversion." In 2017 9th International Workshop on Advanced Ground Penetrating Radar (IWAGPR). IEEE, 2017. http://dx.doi.org/10.1109/iwagpr.2017.7996064.

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Ahola, Jari M., and Tapio Heikkilä. "Object Recognition and Pose Estimation Based on Combined Use of Projection Histograms and Surface Fitting." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67315.

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In this paper we present a configurable object recognition and locating system for 3D point cloud sensors. The objects are recognized based on cylindrical projection histograms and after the object is recognized, the initial pose of the object is computed based on the eigenvectors of the modelled and measured 3D point clusters. The optimal 6 degree of freedom pose is estimated by fitting the CAD-model surfaces to the measured 3D-points, where the model surfaces and 3D points are correlated based on the modelled and measured eigenvectors. The novelty of our system is the combination of reliable

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Kurrant, Douglas J., and Elise C. Fear. "Estimation of regional geometric and spatially averaged dielectric properties of an object." In 2012 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting. IEEE, 2012. http://dx.doi.org/10.1109/aps.2012.6348049.

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Pavlic, Marko, Timo Markert, Sebastian Matich, and Darius Burschka. "RobotScale: A Framework for Adaptable Estimation of Static and Dynamic Object Properties with Object-dependent Sensitivity Tuning." In 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE, 2023. http://dx.doi.org/10.1109/ro-man57019.2023.10309315.

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Petsch, Susanne, and Darius Burschka. "Estimation of spatio-temporal object properties for manipulation tasks from observation of humans." In 2010 IEEE International Conference on Robotics and Automation (ICRA 2010). IEEE, 2010. http://dx.doi.org/10.1109/robot.2010.5509885.

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Tanaka, M., S. Amari, and T. Horiuchi. "MODELLING OF PERCEPTUAL GLOSS UNDER MIXED LIGHTING CONDITIONS." In CIE 2023 Conference. International Commission on Illumination, CIE, 2023. http://dx.doi.org/10.25039/x50.2023.po174.

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In everyday life, humans acquire the appearance of objects in various lighting environments. However, the physical and perceived glosses do not always match in environments with diverse object properties and lighting conditions. Therefore, we challenge the construction of a perceptual gloss estimation model for diffuse and highly directional illuminations. We analysed the relationship between physical features and perceptual gloss by measuring the physical properties of object surfaces, including the physical gloss. The perceptual gloss was visually evaluated using the magnitude estimation met

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Cretu, Ana-Maria, Emil M. Petriu, Pierre Payeur, and Fouad F. Khalil. "Estimation of deformable object properties from shape and force measurements for virtualized reality applications." In 2010 IEEE International Workshop on Haptic Audio Visual Environments and Games (HAVE 2010). IEEE, 2010. http://dx.doi.org/10.1109/have.2010.5623970.

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Murooka, Masaki, Shunichi Nozawa, Yohei Kakiuchi, Kei Okada, and Masayuki Inaba. "Feasibility evaluation of object manipulation by a humanoid robot based on recursive estimation of the object's physical properties." In 2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2017. http://dx.doi.org/10.1109/icra.2017.7989469.

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Seacat, R. H., Harrison H. Barrett, R. L. Shoemaker, T. J. Roney, and W. J. Smith. "Parallel processor for optimization and estimation problems: algorithms." In OSA Annual Meeting. Optica Publishing Group, 1988. http://dx.doi.org/10.1364/oam.1988.fo3.

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The simulated annealing algorithm is a generalized optimization algorithm suitable for the reconstruction of images from data obtained through coded aperture projections. The best estimate of an unknown object is the estimate that minimizes an energy function derived from the known and inferred properties of the original object and the process.

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