Way to go! Detecting open areas ahead of a walking person
Computer Vision-ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12 …, 2015•Springer
We determine the region in front of a walking person that is not blocked by obstacles. This is
an important task when trying to assist visually impaired people or navigate autonomous
robots in urban environments. We use conditional random fields to learn how to interpret
texture and depth information for their accessibility. We demonstrate the effectiveness of the
proposed approach on a novel dataset, which consists of urban outdoor and indoor scenes
that were recorded with a handheld stereo camera.
an important task when trying to assist visually impaired people or navigate autonomous
robots in urban environments. We use conditional random fields to learn how to interpret
texture and depth information for their accessibility. We demonstrate the effectiveness of the
proposed approach on a novel dataset, which consists of urban outdoor and indoor scenes
that were recorded with a handheld stereo camera.
Abstract
We determine the region in front of a walking person that is not blocked by obstacles. This is an important task when trying to assist visually impaired people or navigate autonomous robots in urban environments. We use conditional random fields to learn how to interpret texture and depth information for their accessibility. We demonstrate the effectiveness of the proposed approach on a novel dataset, which consists of urban outdoor and indoor scenes that were recorded with a handheld stereo camera.
Springer
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