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Warianty tytułu
Języki publikacji
Abstrakty
This report deals with a computer vision system for unmanned ground vehicle. The concentrated aspects include the comparison between image and model and intrinsic and extrinsing parameters of camera.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
87--101
Opis fizyczny
Bibliogr. 12 poz., fig., tab.
Twórcy
autor
- University of Žilina, Faculty of Mechanical Engineering, Department of Industrial Engineering
Bibliografia
- [1] http://bmrc.berkeley.edu/frame/research/mpeg/mpeg_overview.html (Description of MPEG standard)
- [2] http://www.cplusplus.com/ (C++ code examples, commands overviews)
- [3] http://en.wikipedia.org/wiki/Covariance (Covariance mathematical formulas and features)
- [4] http://www.darpa.mil/grandchallenge/index.asp (Darpa - Grand challenge competition homepage)
- [5] http://www.cs.cf.ac.uk/Dave/Multimedia/node252.html (Motion vector description)
- [6] http://www.mathworks.com/ (Matlab code exchange website)
- [7] http://research.graphicon.ru/machine-learning/gml-ransac-matlab-toolbox-2.html (Ransac toolbox and example)
- [8] http://forums.nvidia.com/index.php?showtopic=28511 (information about NVidia GeForce graphics cards)
- [9] http://www.automobilemag.com/am/1998/land_rover/discovery/specifications.html (vehicle specification)
- [10] http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/FISHER/RANSAC/ (RANSAC specification)
- [11] Distinctive Image Features from Scale-Invariant Keypoints DAVID G. LOWE Computer Science Department, University of British Columbia, Vancouver, B.C., Canada Lowe@cs.ubc.ca Received January 10, 2003; Revised January 7, 2004; Accepted January 22, 2004
- [12] IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 5, NO. 4, DECEMBER 2004 309 Color-Based Road Detection in Urban Traffic Scenes Yinghua He, Hong Wang, and Bo Zhang
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0bcbfba6-3fc3-4cb8-9521-2123ce215832