Absolute Range Detection System for STAIR
نویسنده
چکیده
Absolute range detection has been a long-time objective of studies focused on achieving stereo computer vision. Many researchers have attempted to emulate some part of the human stereo system, most commonly motion parallax. These attempts, however, have concluded that motion parallax is not a reliable source of input for systems attempting range measurements and, in fact, often worsens object size and range prediction [1]-[2]. A system with these qualities is needed for applications such as the Stanford AI Robot (STAIR), which must be able to maneuver through dynamic environments in order to carry out its tasks.
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