Low cost solution for 3D mapping of environment using 1D LIDAR for autonomous navigation

The mobile robotics industry is booming rapidly and this demands low cost alternatives to autonomous navigation. Perceiving the unknown environment is of utmost importance for the robot to navigate. In this paper, a low cost indoor navigation system for mapping of stationary environment and object d...

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Bibliographic Details
Published inIOP conference series. Materials Science and Engineering Vol. 561; no. 1; pp. 12104 - 12110
Main Authors Athavale, Rutuja, Harish Ram, D.S, Nair, Binoy B
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.10.2019
Subjects
3D mapping
Algorithms
Autonomous navigation
Indoor environments
LIDAR
Low cost
Mapping
Navigation systems
Object recognition
Point cloud
Robotics
Unknown environments
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Summary:The mobile robotics industry is booming rapidly and this demands low cost alternatives to autonomous navigation. Perceiving the unknown environment is of utmost importance for the robot to navigate. In this paper, a low cost indoor navigation system for mapping of stationary environment and object detection has been presented. Algorithm to convert 1D LIDAR (Light Detection and Ranging) into 3DLIDAR has been developed. Profile of the objects that are obstacles has been plotted using a simple, one dimensional point LIDAR. The system will detect the presence and shape of the object as quickly as possible using the adaptive scanning approach.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/561/1/012104