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 141–150 of 408 papers

TitleStatusHype
Is Mapping Necessary for Realistic PointGoal Navigation?Code1
DynPL-SVO: A Robust Stereo Visual Odometry for Dynamic Scenes—0
Dynamic Dense RGB-D SLAM using Learning-based Visual Odometry—0
TerrainMesh: Metric-Semantic Terrain Reconstruction from Aerial Images Using Joint 2D-3D Learning—0
Event-aided Direct Sparse Odometry—0
Improving Monocular Visual Odometry Using Learned Depth—0
Visual Odometry for RGB-D Cameras—0
Lateral Ego-Vehicle Control without Supervision using Point Clouds—0
Lunar Rover Localization Using Craters as Landmarks—0
RAUM-VO: Rotational Adjusted Unsupervised Monocular Visual Odometry—0
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Benchmark Results

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