Open Access
Peer-Reviewed
Case Studies & Applications
Evaluation of Grid-map Sensor Fusion Mapping Algorithms
Abstract
This paper presents a thorough evaluation of grid map based sensor fusion algorithms for mapping the environment of a mobile robot. Three physical sensors were used for creating the grid maps: a CCD camera, a set of ultrasonic sensors and a laser rangefinder. An adaptive fuzzy logic algorithm was compared to three logical sensor fusion algorithms. Results indicate the superiority of the adaptive fuzzy logic algorithm with a 0.075 confidence level.
Keywords
sensor fusion
algorithms
robotics and autonomous mobile robots.
Declarations & Ethics
Funding:
This research received academic dissemination support through ESCAP / JournalsHub publishing programs.
Conflicts of Interest:
The authors declare no competing financial or institutional interests.
Peer Review:
Double-blind peer reviewed by international subject specialists.
License:
Creative Commons Attribution 4.0 International (CC BY 4.0).
How to Cite This Article
APA / MLA / BibTeX
Kapach, et al. (2007). Evaluation of Grid-map Sensor Fusion Mapping Algorithms. IADIS International Journal on Computer Science and Information Systems, 2(2). https://doi.org/10.33965/ijcsis_2007_v2i2_03
Kapach, et al. "Evaluation of Grid-map Sensor Fusion Mapping Algorithms." IADIS International Journal on Computer Science and Information Systems, vol. 2, no. 2, 2007. https://doi.org/10.33965/ijcsis_2007_v2i2_03
Kapach, et al. "Evaluation of Grid-map Sensor Fusion Mapping Algorithms." IADIS International Journal on Computer Science and Information Systems 2, no. 2 (2007). https://doi.org/10.33965/ijcsis_2007_v2i2_03