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 311–320 of 408 papers

TitleStatusHype
Pixel-Wise Prediction based Visual Odometry via Uncertainty Estimation—0
Playing for Benchmarks—0
PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning—0
Pose Graph Optimization for Unsupervised Monocular Visual Odometry—0
Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning—0
Probabilistic Combination of Noisy Points and Planes for RGB-D Odometry—0
Probabilistic Regression of Rotations using Quaternion Averaging and a Deep Multi-Headed Network—0
Pseudo-LiDAR for Visual Odometry—0
RAUM-VO: Rotational Adjusted Unsupervised Monocular Visual Odometry—0
Realtime Edge-Based Visual Odometry for a Monocular Camera—0
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Benchmark Results

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