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Object proposal detection is an effective way of accelerating object recognition. Existing proposal methods are mostly based on detecting object boundaries, which may not be effective for cluttered backgrounds. In this paper, we leverage stereopsis as a robust and effective solution for generating object proposals. We first obtain a set of candidate bounding boxes through adaptive transformation,...
Traversability analysis is a significant and challenging problem for planetary rover's navigation and safeguard on rocky and bumpy terrain. Moreover, the growing requirement for the micro rover in future planetary missions demands robust traversability analysis upon limited sensors and field of perception. In this paper, a framework for stereo based terrain mapping and traversability analysis in autonomous...
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