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Approaches, Challenges, and Applications for Deep Visual Odometry: Toward to Complicated and Emerging Areas
Visual odometry (VO) is a prevalent way to deal with the relative localization problem, which is becoming increasingly mature and accurate, but it tends to be fragile under challenging environments.
A feature-supervised generative adversarial network for environmental monitoring during hazy days
First, pairs of hazy and clean images are used as inputs to supervise the encoding process and obtain high-quality feature maps.
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