Automated incline detection for assistive powered wheelchairs

Mahdieh Nejati, Brenna Dee Argall

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

This work presents an algorithm for automated real-time ramp detection using 3D point cloud data in the context of shared-control powered wheelchairs. Limitations in the interfaces available to those with severe motor impairments can make basic maneuvering tasks with powered wheelchairs difficult. Although a significant amount of work has been done on obstacle detection and avoidance, much less attention has been given to algorithms for the safe and reliable detection of ramps and inclines; even though navigating these structures is an important part of urban life. We provide an algorithmic solution for accurately detecting traversable inclines for applications with powered wheelchairs using the Point Cloud Library (PCL) within the Robotics Operating System (ROS) framework. All algorithms are implemented first in simulation and later evaluated on data obtained from indoor and outdoor urban environments. We measure the performance of our algorithm with systematic testing on several different ramp structures, observed from varied viewpoints. Results show that our algorithm is successful in detecting the orientation, slope, and width of traversable ramps with up to 100% accuracy and an average detection accuracy of 88%.

Original languageEnglish (US)
Title of host publication25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1007-1012
Number of pages6
ISBN (Electronic)9781509039296
DOIs
StatePublished - Nov 15 2016
Event25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016 - New York, United States
Duration: Aug 26 2016Aug 31 2016

Publication series

Name25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016

Other

Other25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016
CountryUnited States
CityNew York
Period8/26/168/31/16

ASJC Scopus subject areas

  • Artificial Intelligence
  • Social Psychology
  • Human-Computer Interaction

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  • Cite this

    Nejati, M., & Argall, B. D. (2016). Automated incline detection for assistive powered wheelchairs. In 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016 (pp. 1007-1012). [7745232] (25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROMAN.2016.7745232