3D Point cloud/Map generation using DIY Board

Authors(5) :-Sanket Deshpande, Chaitanya Shinde, Veerendra Risbud, Santosh Avhad, Atul H. Shintre

There are ample number of surveillance systems which can provide only 2D environment representation using video or images as output. But if we can utilise the available technology of 3D point cloud generation to represent the surrounding in a 3D it could create more accurate representation and depth perception of the surrounding. We are using Kinect/stereo cameras for input as well as ultrasonic rangefinders for collision avoidance. A point cloud is a set of data points in some coordinate system. In a three-dimensional coordinate system, these points are usually defined by X, Y, and Z co-ordinates, and often are intended to represent the external surface of an object. Point clouds may be created by 3D scanners. These devices measure a large number of points on an object's surface, and often output a point cloud as a data file. The point cloud represents the set of points that the device has measured. As the result of a 3D scanning process point clouds are used for many purposes, including to create 3D CAD models for manufactured parts, metrology/quality inspection, and a multitude of visualization, animation, rendering and mass customization applications. Rangefinders for collision avoidance. A point cloud is a set of data points in some coordinate system. In a three-dimensional coordinate system, these points are usually defined by X, Y, and Z co-ordinates, and often are intended to represent the external surface of an object. Point clouds may be created by 3D scanners. These devices measure a large number of points on an object's surface, and often output a point cloud as a data file. The point cloud represents the set of points that the device has measured. As the result of a 3D scanning process point clouds are used for many purposes, including to create 3D CAD models for manufactured parts, metrology/quality inspection, and a multitude of visualization, animation, rendering and mass customization applications.

Authors and Affiliations

Sanket Deshpande
Department of Computer Engineering, Mumbai University, Padmabhushan Vasantdada Patil Pratishthan`s College of Engineering, Mumbai, Maharashtra, India
Chaitanya Shinde
Department of Computer Engineering, Mumbai University, Padmabhushan Vasantdada Patil Pratishthan`s College of Engineering, Mumbai, Maharashtra, India
Veerendra Risbud
Department of Computer Engineering, Mumbai University, Padmabhushan Vasantdada Patil Pratishthan`s College of Engineering, Mumbai, Maharashtra, India
Santosh Avhad
Department of Computer Engineering, Mumbai University, Padmabhushan Vasantdada Patil Pratishthan`s College of Engineering, Mumbai, Maharashtra, India
Atul H. Shintre
Department of Computer Engineering, Mumbai University, Padmabhushan Vasantdada Patil Pratishthan`s College of Engineering, Mumbai, Maharashtra, India

3D Point cloud, Kinect, Stereoscopy, Octomap

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Publication Details

Published in : Volume 2 | Issue 5 | September-October 2016
Date of Publication : 2016-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 469-472
Manuscript Number : IJSRSET1625125
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Sanket Deshpande, Chaitanya Shinde, Veerendra Risbud, Santosh Avhad, Atul H. Shintre , " 3D Point cloud/Map generation using DIY Board, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 5, pp.469-472, September-October-2016.
Journal URL : http://ijsrset.com/IJSRSET1625125

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