Visual odometry

Results: 128



#Item
1A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry Zichao Zhang, Davide Scaramuzza Abstract— In this tutorial, we provide principled methods to quantitatively evaluate the quality of an est

A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry Zichao Zhang, Davide Scaramuzza Abstract— In this tutorial, we provide principled methods to quantitatively evaluate the quality of an est

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Source URL: rpg.ifi.uzh.ch

Language: English - Date: 2018-09-30 13:30:50
2Off-board Visual Odometry and Control of an Ultralight Quadrotor MAV Kun Li∗, Rui Huang, Swee King Phang, Shupeng Lai, Fei Wang, Ping Tan, Ben M. Chen and Tong Heng Lee Department of Electrical and Computer Engineering

Off-board Visual Odometry and Control of an Ultralight Quadrotor MAV Kun Li∗, Rui Huang, Swee King Phang, Shupeng Lai, Fei Wang, Ping Tan, Ben M. Chen and Tong Heng Lee Department of Electrical and Computer Engineering

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Source URL: www.imavs.org

Language: English - Date: 2016-10-25 08:53:39
    3Realtime edge-based visual odometry for a monocular camera Juan Jos´e Tarrio, Sol Pedre Instituto Balseiro - CNEA Bustillo 9500, Bariloche, Rio Negro, Argentina ,

    Realtime edge-based visual odometry for a monocular camera Juan Jos´e Tarrio, Sol Pedre Instituto Balseiro - CNEA Bustillo 9500, Bariloche, Rio Negro, Argentina ,

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    Source URL: www.cv-foundation.org

    - Date: 2015-10-24 15:05:07
      4Real-Time Visual Odometry from Dense RGB-D Images Frank Steinbrücker Jürgen Sturm Daniel Cremers Department of Computer Science, Technical University of Munich, Germany {steinbrf,sturmju,cremers}@in.tum.de

      Real-Time Visual Odometry from Dense RGB-D Images Frank Steinbrücker Jürgen Sturm Daniel Cremers Department of Computer Science, Technical University of Munich, Germany {steinbrf,sturmju,cremers}@in.tum.de

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      Source URL: vision.in.tum.de

      - Date: 2011-11-22 09:44:36
        5Deep Learning for Laser Based Odometry Estimation Austin Nicolai, Ryan Skeele, Christopher Eriksen, and Geoffrey A. Hollinger Robotics Program School of Mechanical, Industrial, & Manufacturing Engineering Oregon State Un

        Deep Learning for Laser Based Odometry Estimation Austin Nicolai, Ryan Skeele, Christopher Eriksen, and Geoffrey A. Hollinger Robotics Program School of Mechanical, Industrial, & Manufacturing Engineering Oregon State Un

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        Source URL: juxi.net

        Language: English - Date: 2016-06-17 11:44:51
        61  On-Manifold Preintegration for Real-Time Visual-Inertial Odometry Christian Forster, Luca Carlone, Frank Dellaert, Davide Scaramuzza

        1 On-Manifold Preintegration for Real-Time Visual-Inertial Odometry Christian Forster, Luca Carlone, Frank Dellaert, Davide Scaramuzza

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        Source URL: rpg.ifi.uzh.ch

        Language: English - Date: 2016-07-19 03:19:56
        7Low-Latency Visual Odometry using Event-based Feature Tracks Beat Kueng, Elias Mueggler, Guillermo Gallego and Davide Scaramuzza Abstract— New vision sensors, such as the Dynamic and Active-pixel Vision sensor (DAVIS),

        Low-Latency Visual Odometry using Event-based Feature Tracks Beat Kueng, Elias Mueggler, Guillermo Gallego and Davide Scaramuzza Abstract— New vision sensors, such as the Dynamic and Active-pixel Vision sensor (DAVIS),

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        Source URL: rpg.ifi.uzh.ch

        Language: English - Date: 2016-07-20 13:20:48
        8Simultaneous Calibration, Localization, and Mapping Rainer K¨ummerle Giorgio Grisetti  Abstract— The calibration parameters of a mobile robot play

        Simultaneous Calibration, Localization, and Mapping Rainer K¨ummerle Giorgio Grisetti Abstract— The calibration parameters of a mobile robot play

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        Source URL: europa.informatik.uni-freiburg.de

        Language: English - Date: 2012-01-23 15:01:26
        9MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com High-Performance and Tunable Stereo Reconstruction Pillai, S.; Ramalingam, S.; Leanard, J. TR2016-037

        MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com High-Performance and Tunable Stereo Reconstruction Pillai, S.; Ramalingam, S.; Leanard, J. TR2016-037

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        Source URL: www.merl.com

        Language: English - Date: 2016-06-07 11:34:13