Unsupervised Monocular Depth Learning with Integrated Intrinsics and Spatio-Temporal Constraints.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)（2021）
关键词
spatio-temporal constraints,monocular depth inference,time-of-flight sensors,scale acquisition,at-scale depth maps,egomotion,camera intrinsics,monocular images,spatial constraints,temporal geometric constraints,scale factors,supervisory reconstruction loss functions,training time,unlabeled stereo sequences,single-network architecture,implementation overhead,multiple sequences,training times,reduced network complexity,unsupervised monocular depth learning,integrated intrinsics,KITTI driving dataset
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