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ISPRS Int. J. Geo-Inf. 2013, 2(4), 959-977; doi:10.3390/ijgi2040959
Article

Simplified Occupancy Grid Indoor Mapping Optimized for Low-Cost Robots

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Received: 24 July 2013 / Revised: 25 September 2013 / Accepted: 27 September 2013 / Published: 14 October 2013
(This article belongs to the Special Issue Indoor Positioning and Indoor Navigation)
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Abstract: This paper presents a mapping system that is suitable for small mobile robots. An ad hoc algorithm for mapping based on the Occupancy Grid method has been developed. The algorithm includes some simplifications in order to be used with low-cost hardware resources. The proposed mapping system has been built in order to be completely autonomous and unassisted. The proposal has been tested with a mobile robot that uses infrared sensors to measure distances to obstacles and uses an ultrasonic beacon system for localization, besides wheel encoders. Finally, experimental results are presented.
Keywords: FPGA; Occupancy Grid; mapping; low-cost FPGA; Occupancy Grid; mapping; low-cost
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Gonzalez-Arjona, D.; Sanchez, A.; López-Colino, F.; de Castro, A.; Garrido, J. Simplified Occupancy Grid Indoor Mapping Optimized for Low-Cost Robots. ISPRS Int. J. Geo-Inf. 2013, 2, 959-977.

AMA Style

Gonzalez-Arjona D, Sanchez A, López-Colino F, de Castro A, Garrido J. Simplified Occupancy Grid Indoor Mapping Optimized for Low-Cost Robots. ISPRS International Journal of Geo-Information. 2013; 2(4):959-977.

Chicago/Turabian Style

Gonzalez-Arjona, David; Sanchez, Alberto; López-Colino, Fernando; de Castro, Angel; Garrido, Javier. 2013. "Simplified Occupancy Grid Indoor Mapping Optimized for Low-Cost Robots." ISPRS Int. J. Geo-Inf. 2, no. 4: 959-977.


ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert