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Zhenzhen Liang

1 accepted papers

2021

Deep Unsupervised Learning Based Visual Odometry with Multi-scale Matching and Latent Feature Constraint

IROS 2021poster

A novel siamese autoencoder visual odometry system named SAEVO is proposed in this paper. SAEVO can jointly estimate the 6-DoF pose and the depth using deep neural networks trained with monocular clips only. The main idea of the proposed method is an unsupervised deep learning scheme that combines s…

Cited by 14SourceScholar