Mobility and low contrast trip hazard avoidance using augmented depth
OBJECTIVE: We evaluated a novel visual representation for current and near-term prosthetic vision. Augmented depth emphasizes ground obstacles and floor-wall boundaries in a depth-based visual representation. This is achieved by artificially increasing contrast between obstacles and the ground surface via a novel ground plane extraction algorithm specifically designed to preserve low-contrast ground-surface boundaries. APPROACH: The effectiveness of augmented depth was examined in human...[Show more]
|Collections||ANU Research Publications|
|Source:||Journal of Neural Engineering|
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