Obstacle and planar object detection using sparse 3D information for a smart walker

Cloix, Séverine (Vision Embedded Systems, CSEM SA, Neuchâtel, Switzerland) ; Weiss, Viviana (Computer Science Department, University of Geneva, Geneva, Switzerland) ; Bologna, Guido (Computer Science Department, University of Geneva, Geneva, Switzerland) ; Pun, Thierry (Computer Science Department, University of Geneva, Geneva, Switzerland) ; Hasler, David (Vision Embedded Systems, CSEM SA, Neuchâtel, Switzerland)

With the increasing proportion of senior citizens, many mobility aid devices have been developed such as the rollator. However, under some circumstances, the latter may cause accidents. The EyeWalker project aims to develop a small and autonomous device for rollators to help elderly people, especially those with some degree of visual impairment, avoiding common dangers like obstacles and hazardous ground changes, both outdoors and indoors. We propose amethod of real-time stereo obstacle detection using sparse 3D information. Working with sparse 3D points, in opposition to dense 3D maps, is computationally more efficient and more appropriate for a long battery-life. In our approach, 3D data are extracted from a stereo-rig of two 2D high dynamic range cameras developed at the CSEM (Centre Suisse d'Electronique et de Microtechnique) and processed to perform a boosting classification. We also present a deformable 3D object detector for which the 3D points are combined in several different ways and result in a set of pose estimates used to execute a less ill-posed classification. The evaluation, carried out on real stereo images of obstacles described with both 2D and 3D features, shows promising results for a future use in real-world conditions.

Note: BOLOGNA, Guido est un chercheur à la HES-SO, HEPIA, depuis 2011.

Conference Type:
full paper
Ingénierie et Architecture
HEPIA - Genève
inIT - Institut d'Ingénierie Informatique et des Télécommunications
Lisbon, Portugal, 5-8 January 2014
Lisbon, Portugal
5-8 January 2014
7 p.
Published in:
Proceedings of 2014 International Conference on Computer Vision Theory and Applications (VISAPP), 8-8 January 2014, Lisbon, Portugal
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 Record created 2020-07-10, last modified 2020-10-27

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