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Paper Details
Paper Title
Color Based Detection and Range Estimation of an Obstacle Using Two-view Triangulation
Authors
  Er. Monika,  Rupinder Kaur
Abstract
Obstacle detection is a major key of autonomous vehicles. When communicating with huge robots in unstructured background, resilient obstacle detection is required. Few of the existing methods are mostly suited for the backgrounds in which the ground is comparatively flat and with roughly the similar color throughout the terrain. A novel procedure future in the work presented here uses a monocular camera, for real-time performance. We compute the homography between two successive frames by computing the fundamental matrix between the two frames. Estimation of fundamental matrix is followed by triangulation so as to calculate the distance of the object from the camera. We examine a difficulty intrinsic to any fundamental matrix-based outlook to the provided task, and explain how the discussed way can resolve this difficulty by a huge level. An obstacle detection and distance estimation system based on visual particular attribute and stereo vision is hence discussed in the presented work.
Keywords- Face recognition, Preprocessing, characteristics match, Image Processing etc.
Publication Details
Unique Identification Number - IJEDR1504035Page Number(s) - 240-246Pubished in - Volume 3 | Issue 4 | 31 October 2015DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Er. Monika,  Rupinder Kaur,   "Color Based Detection and Range Estimation of an Obstacle Using Two-view Triangulation", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 4, pp.240-246, 31 October 2015, Available at :http://www.ijedr.org/papers/IJEDR1504035.pdf
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