Paper Title

Vision Based Obstacle Detection and Range estimation: A Literature Review

Authors

  • Er. Monika
  • Rupinder Kaur

Keywords

Abstract

Obstacle detection is a main key of autonomous vehicles. When communicating with huge robots in unstructured background, resilient obstacle detection is required few of the existing methods are mainly suited for the backgrounds in which the ground is comparatively flat and with roughly the same color throughout the terrain. A novel procedure proposed 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.Depth maps from multiple angles for a given set of identified We examine a difficulty intrinsic to any fundamental matrix based outlook to the provided task and show 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.

Article Type

Published

How To Cite

Er. Monika, Rupinder Kaur. "Vision Based Obstacle Detection and Range estimation: A Literature Review".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.3, Issue 3, pp., URL :https://rjwave.org/ijedr/papers/IJEDR1503073.pdf

Issue

Volume 3 Issue 3 

Pages.

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