We present in this paper a fast and simple free floor detection method. Compared to existing methods the proposed method can handle non-planar camera motion by means of a Three-Step procedure. A fast initial segmentation is followed by an intermediate floor plane estimation to adapt to the camera motion. Then, a final segmentation is done using the estimated plane. This allows for correct segmentation even when the camera moves up and down, tilts or rolls. Outdoor measurements of a road surface were performed with a Time-of-Flight camera mounted in front of a car. The measurements contain three types of road surface: concrete, stone and asphalt. The proposed segmentation takes less than 1.25 ms per frame for range images with a resolution of 176 by 132, making it fit for real-time applications. The resulting accuracy is higher than the state of the art.
CITATION STYLE
Van Crombrugge, I., Azza, I. B., Penne, R., Van Barel, G., & Vanlanduit, S. (2017). Fast ground detection for range cameras on road surfaces using a three-step segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10617 LNCS, pp. 479–490). Springer Verlag. https://doi.org/10.1007/978-3-319-70353-4_41
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