Deep Visual Odometry With Adaptive Memory

We propose a novel deep visual odometry (VO) method that considers global information by selecting memory and refining poses. Existing learning-based methods take the VO task as a pure tracking problem via recovering camera poses from image snippets, leading to severe error accumulation. Global info...

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Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 2 vom: 02. Feb., Seite 940-954
Auteur principal:	Xue, Fei (Auteur)
Autres auteurs:	Wang, Xin, Wang, Junqiu, Zha, Hongbin
Format:	Article en ligne
Langue:	English
Publié:	2022
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article