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 121–130 of 408 papers

TitleStatusHype
A geometry method for LED mapping—0
Initial Orbit Determination from Only Heading Measurements—0
Dense Prediction Transformer for Scale Estimation in Monocular Visual OdometryCode1
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
Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized MappingCode2
SF2SE3: Clustering Scene Flow into SE(3)-Motions via Proposal and SelectionCode1
DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic EnvironmentsCode2
Visual Odometry with Neuromorphic Resonator Networks—0
Pseudo-LiDAR for Visual Odometry—0
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Benchmark Results

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