Identifying Good Training Data for Self-Supervised Free Space Estimation

CVPR 2016 Ali HarakehDaniel AsmarElie Shammas

This paper proposes a novel technique to extract training data from free space in a scene using a stereo camera. The proposed technique exploits the projection of planes in the v-disparity image paired with Bayesian linear regression to reliably identify training image pixels belonging to free space in a scene... (read more)

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