Kevin Judd
Kevin Judd

Kevin joined ORI in 2016 as a DPhil student at Somerville College after having spent a year in Oxford as part of the CDT in Autonomous Intelligent Machines and Systems program.

He is particularly interested in robotic vision systems, and is currently working on simultaneous ego- and third-party motion estimation and tracking using stereo vision.

In his free time, he enjoys running and playing football.

Publications

  • Download associated data
  • Watch associated video
  • Find paper by Direct Object Identifier
  • Find paper on arXiv (open access)
  • Find updated paper on arXiv (open access)
  • Find paper on Google Scholar
  • Journal Papers

    1. K. M. Judd, J. D. Gammell. “The Oxford Multimotion Dataset: Multiple SE(3) motions with ground truth.” IEEE Robotics and Automation Letters (RA-L), 4(2):800–807, Apr. 2019. Presented at ICRA 2019.

    Conference Papers

    Full-paper-refereed

    1. K. M. Judd, J. D. Gammell, P. Newman. “Multimotion visual odometry (MVO): Simultaneous estimation of camera and third-party motions.” in Proceedings of the IEEE/RSJ international conference on intelligent robots and systems (IROS), pp. 3949–3956, Madrid, Spain, 1–5 Oct. 2018.

    Abstract-refereed

    1. K. M. Judd, J. D. Gammell. “SE(3) multimotion estimation through occlusion.” in Proceedings of the long-term human motion prediction (LHMP) workshop, IEEE international conference on robotics and automation (ICRA), MontrĂ©al, QC, Canada, 24 May 2019.
    2. K. M. Judd, J. D. Gammell, P. Newman. “Visual multimotion estimation.” in Joint industry and robotics CDTs symposium (JIRCS), Bristol, UK, 4 Jun. 2018.

    Technical Reports

    1. K. M. Judd, J. D. Gammell. “Occlusion-robust MVO: Multimotion estimation through occlusion via motion closure.” Technical Report, Estimation, Search, and Planning (ESP) Research Group, University of Oxford, May 2019.