1–20 von 237 Ergebnissen
|

    Zero-VIRUS*: Zero-shot Vehicle Route Understanding System for Intelligent Transportation

    Yu, Lijun / Feng, Qianyu / Qian, Yijun et al. | IEEE | 2020
    modeling of pre-defined routes to estimate the proximity and completeness of each track. The proposed system has achieved third place on Dataset A ...

    ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications

    Alrabeiah, Muhammad / Hredzak, Andrew / Liu, Zhenhao et al. | IEEE | 2020
    , and scalable data generation framework. It utilizes advanced 3D-modeling and ray-tracing softwares to generate high-fidelity synthetic ...

    Visual learning by integrating descriptive and generative methods

    Gheng-En Guo, / Song-Chun Zhu, / Yingnian Wu, | IEEE | 2001
    , TCA, image coding and HMM. We apply this integrated learning framework to texton modeling, and we assume that an observed texture image is ...

    Vision for Cross-Center MSBE Collaboration on the Gateway Program

    Crane, Jeremiah / Morgenstern, Robert / Parrott, Edith | IEEE | 2020
    , due to its unique acquisition approach, the modeling efforts involve multiple NASA centers with each developing their own models. Every ...

    Vision-Based Trajectory Tracking Controller for Autonomous Close Proximity Operations

    Saghafi, Fariborz / Zadeh, S. Mohammad Khansari | IEEE | 2008
    accuracy and robustness of the proposed algorithm has been validated via a detailed modeling and a complete virtual environment based on the 6DOF ...

    Vision-Based Semantic Segmentation in Scene Understanding for Autonomous Driving: Recent Achievements, Challenges, and Outlooks

    Freier Zugriff
    Muhammad, Khan / Hussain, Tanveer / Ullah, Hayat et al. | IEEE | 2022
    making. Beyond modeling advances, the enabler for vehicles to become aware of their surroundings is the availability of visual sensory data ...

    Vision-Based Navigation in Autonomous Close Proximity Operations using Neural Networks

    Khansari-Zadeh, Seyed Mohammad / Saghafi, Fariborz | IEEE | 2011
    accuracy and robustness of the proposed algorithm have been validated via a detailed modeling and a complete virtual environment based on the six ...

    Vision-Based Adaptive Traffic Light Controller for Single Intersection

    Sutharsan, Mahendren / Rajakaruna, Shehan / Jayaweera, S.Y. et al. | IEEE | 2020
    better timing adjustment for the existing system using a mathematical modeling approach while taking the extracted traffic index as input. This ...

    Video epitomes

    Cheung, V. / Frey, B.J. / Jojic, N. | IEEE | 2005
    most of the small space-time cubes from the input data. Then, the epitome can be used for various modeling and reconstruction tasks, of which ...

    Video-based face recognition using adaptive hidden Markov models

    Xiaoming Liu, / Tsuhan Cheng, | IEEE | 2003
    , each HMM is adapted with the test video sequence, which results in better modeling over time. Based on extensive experiments with various ...

    Variational space-time motion segmentation

    Cremers, / Soatto, | IEEE | 2003
    . We derive a cost functional which depends on a surface in space-time separating a set of motion regions, as well as a set of vectors modeling ...

    Using temporal coherence to build models of animals

    Ramanan, / Forsyth, | IEEE | 2003
    , that is capable of modeling objects while tracking them - or as the source of an appearance model which can be used to build detectors for the ...

    Using robust methods for automatic extraction of buildings

    Vestri, C. / Devernay, F. | IEEE | 2001
    We present a system for modeling buildings from a single correlation-based digital elevation model (DEM). The model is constructed in two ...

    Using extended light sources for modeling object appearance under varying illumination

    Sato, I. / Okabe, T. / Sato, Y. et al. | IEEE | 2005
    In this study, we demonstrate the effectiveness of using extended light sources for modeling the appearance of an object for varying ...

    Using an ICA representation of high dimensional data for object recognition and classification

    Bressan, M. / Guillamet, D. / Vitria, J. | IEEE | 2001
    This paper applies a Bayesian classification scheme to the problem of recognition through probabilistic modeling of high dimensional data ...

    Unsupervised Modeling of Signs Embedded in Continuous Sentences

    Nayak, S. / Sarkar, S. / Loeding, B. | IEEE | 2005

    Undoing paper curl distortion using applicable surfaces

    Pilu, M. | IEEE | 2001
    -up by a camera with the support of sparse depth measurements. A novel method based on physically modeling paper deformation with an ...

    Understanding Real Time Traffic Characteristics of Urban Zones Using GPS Data: A Computational Study on Dhaka City

    Rahman, Md Maksudur / Ariful Hoque, S M / Zaber, Moinul Islam | IEEE | 2018
    RAJUK, the city development authority of Bangladesh for traffic modeling. Computational methods are employed to find the similarities among ...

    UMD Experiments with FRGC Data

    Aggarwal, G. / Biswas, S. / Chellappa, R. | IEEE | 2005
    controlled conditions, physical modeling is required to generalize across varying situations. Accordingly, we describe a generative approach to ...