SOTAVerified

Visual Odometry

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.

Source: Bi-objective Optimization for Robust RGB-D Visual Odometry

Papers

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Showing 111–120 of 408 papers

TitleStatusHype
Exploring Self-Attention for Visual Odometry—0
EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation—0
E-Graph: Minimal Solution for Rigid Rotation with Extensibility Graphs—0
FDMO: Feature Assisted Direct Monocular Odometry—0
Dive Deeper into Rectifying Homography for Stereo Camera Online Self-Calibration—0
Distilling Knowledge From a Deep Pose Regressor Network—0
Enhancing self-supervised monocular depth estimation with traditional visual odometry—0
Epipolar Geometry based Learning of Multi-view Depth and Ego-Motion from Monocular Sequences—0
A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation—0
Discovering Multiple Algorithm Configurations—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CIVORelative Position Error Translation [cm]1.36—Unverified