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Obstacle detection for pedestrians with a visual impairment based on 3D imaging

Michiel Vlaminck (UGent) , Ljubomir Jovanov (UGent) , Peter Van Hese (UGent) , Bart Goossens (UGent) , Wilfried Philips (UGent) and Aleksandra Pizurica (UGent)
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Abstract
According to theWorld Health Organisation, 285 million people live with a visual impairment. Despite the fact that many efforts have been made recently, there is still no computerguided system that is reliable, robust and practical enough to help these people to increase their mobility. Motivated by this shortcoming, we propose a novel obstacle detection system to assist the visually impaired. This work mainly focuses on indoor environments and performs classification of typical obstacles that emerge in these situations, using a 3D sensor. A total of four classes of obstacles are considered: walls, doors, stairs and a residual class (which covers loose obstacles and bumpy parts on the floor). The proposed system is very reliable in terms of the detection accuracy. In a realistic experiment, stairs are detected with 100% true positive rate and 8.6% false positive rate, while doors are detected with 86.4% true positive rate and 0% false positive rate.
Keywords
3D point clouds, Obstacle detection

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MLA
Vlaminck, Michiel, Ljubomir Jovanov, Peter Van Hese, et al. “Obstacle Detection for Pedestrians with a Visual Impairment Based on 3D Imaging.” 2013 INTERNATIONAL CONFERENCE ON 3D IMAGING (IC3D). Ed. Jacques G Verly. IEEE, 2013. Print.
APA
Vlaminck, M., Jovanov, L., Van Hese, P., Goossens, B., Philips, W., & Pizurica, A. (2013). Obstacle detection for pedestrians with a visual impairment based on 3D imaging. In J. G. Verly (Ed.), 2013 INTERNATIONAL CONFERENCE ON 3D IMAGING (IC3D). Presented at the 3rd International Conference on 3D Imaging (IC3D), IEEE.
Chicago author-date
Vlaminck, Michiel, Ljubomir Jovanov, Peter Van Hese, Bart Goossens, Wilfried Philips, and Aleksandra Pizurica. 2013. “Obstacle Detection for Pedestrians with a Visual Impairment Based on 3D Imaging.” In 2013 INTERNATIONAL CONFERENCE ON 3D IMAGING (IC3D), ed. Jacques G Verly. IEEE.
Chicago author-date (all authors)
Vlaminck, Michiel, Ljubomir Jovanov, Peter Van Hese, Bart Goossens, Wilfried Philips, and Aleksandra Pizurica. 2013. “Obstacle Detection for Pedestrians with a Visual Impairment Based on 3D Imaging.” In 2013 INTERNATIONAL CONFERENCE ON 3D IMAGING (IC3D), ed. Jacques G Verly. IEEE.
Vancouver
1.
Vlaminck M, Jovanov L, Van Hese P, Goossens B, Philips W, Pizurica A. Obstacle detection for pedestrians with a visual impairment based on 3D imaging. In: Verly JG, editor. 2013 INTERNATIONAL CONFERENCE ON 3D IMAGING (IC3D). IEEE; 2013.
IEEE
[1]
M. Vlaminck, L. Jovanov, P. Van Hese, B. Goossens, W. Philips, and A. Pizurica, “Obstacle detection for pedestrians with a visual impairment based on 3D imaging,” in 2013 INTERNATIONAL CONFERENCE ON 3D IMAGING (IC3D), Liege, Belgium, 2013.
@inproceedings{4221558,
  abstract     = {According to theWorld Health Organisation, 285 million people live with a visual impairment. Despite the fact that many efforts have been made recently, there is still no computerguided system that is reliable, robust and practical enough to help these people to increase their mobility. Motivated by this shortcoming, we propose a novel obstacle detection system to assist the visually impaired. This work mainly focuses on indoor environments and performs classification of typical obstacles that emerge in these situations, using a 3D sensor. A total of four classes of obstacles are considered: walls, doors, stairs and a residual class (which covers loose obstacles and bumpy parts on the floor). The proposed system is very reliable in terms of the detection accuracy. In a realistic experiment, stairs are detected with 100% true positive rate and 8.6% false positive rate, while doors are detected with 86.4% true positive rate and 0% false positive rate.},
  author       = {Vlaminck, Michiel and Jovanov, Ljubomir and Van Hese, Peter and Goossens, Bart and Philips, Wilfried and Pizurica, Aleksandra},
  booktitle    = {2013 INTERNATIONAL CONFERENCE ON 3D IMAGING (IC3D)},
  editor       = {Verly, Jacques G},
  isbn         = {9781479932030},
  keywords     = {3D point clouds,Obstacle detection},
  language     = {eng},
  location     = {Liege, Belgium},
  pages        = {6},
  publisher    = {IEEE},
  title        = {Obstacle detection for pedestrians with a visual impairment based on 3D imaging},
  year         = {2013},
}

Web of Science
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