Apr 6, 2024 · This paper presents a novel hybrid visual odometry (VO) framework that leverages pose-only supervision, offering a balanced solution between robustness and the ...
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Apr 6, 2024 · This paper presents a novel hybrid visual odometry (VO) framework that leverages pose-only supervision, offering a balanced solution between robustness and the ...
This letter proposes two cost-effective and innovative designs: a self-supervised homographic pre-training for enhancing optical flow learning from ...
Oct 26, 2024 · We propose two cost-effective and innovative designs: a self-supervised homographic pre-training for enhancing optical flow learning from pose- ...
Jun 14, 2024 · This paper presents a novel hybrid visual odometry (VO) framework that leverages pose-only supervision, offering a balanced solution between robustness and the ...
Oct 26, 2024 · We propose two cost-effective and innovative designs: a self-supervised homographic pre-training for enhancing optical flow learning from pose- ...
Apr 8, 2024 · This paper presents a new approach that can estimate camera poses using only the 2D images from a monocular camera, without needing any depth data.
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Salient Sparse Visual Odometry With Pose-Only Supervision · no code ... Visual Odometry (VO) is vital for the navigation of autonomous systems, providing ...
Visual Odometry is an important area of information fusion in which the central aim is to estimate the pose of a robot using data collected by visual sensors.
Through extensive experiments, it is shown that the self-supervised DPC network can significantly enhance the performance of classical monocular and stereo ...