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Context-sensitive bicycle and pedestrian detection and tracking
Contact: Paul Rybski
Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Ave
Pittsburgh, PA 15213
Project Homepage
This page last updated - August 2011.
Publications
  • Real-time Pedestrian Detection with Deformable Part Models

    Hyunggi Cho, Paul Rybski, Aharon Bar-Hillel, and Wende Zhang
    IEEE Intelligent Vehicles Symposium, August, 2012.
    Details | pdf (2MB) | Copyrighted

  • Vision-based 3D Bicycle Tracking using Deformable Part Model and Interacting Multiple Model Filter

    Hyunggi Cho, Paul Rybski, and Wende Zhang
    2011 IEEE Conference on Robotics and Automation (ICRA 2011), May, 2011.
    Details | pdf (595KB) | Copyrighted

  • Vision-based Bicycle Detection and Tracking using a Deformable Part Model and an EKF Algorithm

    Hyunggi Cho, Paul Rybski, and Wende Zhang
    13th International IEEE Conference on Intelligent Transportation Systems, July, 2010.
    Details | pdf (329KB) | Copyrighted

  • Vision-based Bicyclist Detection and Tracking for Intelligent Vehicles

    Hyunggi Cho, Paul Rybski, and Wende Zhang
    2010 IEEE Intelligent Vehicles Symposium, July, 2010.
    Details | pdf (471KB) | Copyrighted

  • Vision-based Bicyclist Detection and Tracking for Intelligent Vehicles

    Hyunggi Cho, Paul Rybski, and Wende Zhang
    tech. report CMU-RI-TR-10-11, Robotics Institute, Carnegie Mellon University, January, 2010
    Details | pdf (479KB) | Copyrighted