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 161–170 of 408 papers

TitleStatusHype
Initial Orbit Determination from Only Heading Measurements—0
Unsupervised Visual Odometry and Action Integration for PointGoal Navigation in Indoor Environment—0
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment—0
Visual Odometry with Neuromorphic Resonator Networks—0
Pseudo-LiDAR for Visual Odometry—0
Pixel-Wise Prediction based Visual Odometry via Uncertainty Estimation—0
E-Graph: Minimal Solution for Rigid Rotation with Extensibility Graphs—0
Physical Passive Patch Adversarial Attacks on Visual Odometry SystemsCode0
Drift Reduction for Monocular Visual Odometry of Intelligent Vehicles using Feedforward Neural Networks—0
Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning—0
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Benchmark Results

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