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 1–10 of 408 papers

TitleStatusHype
pySLAM: An Open-Source, Modular, and Extensible Framework for SLAMCode7
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual OdometryCode7
Deep Patch Visual SLAMCode4
Self-Supervised Geometry-Guided Initialization for Robust Monocular Visual OdometryCode4
MUSt3R: Multi-view Network for Stereo 3D ReconstructionCode3
Reinforcement Learning Meets Visual OdometryCode3
LEAP-VO: Long-term Effective Any Point Tracking for Visual OdometryCode3
LIR-LIVO: A Lightweight,Robust LiDAR/Vision/Inertial Odometry with Illumination-Resilient Deep FeaturesCode2
ESVO2: Direct Visual-Inertial Odometry with Stereo Event CamerasCode2
IncEventGS: Pose-Free Gaussian Splatting from a Single Event CameraCode2
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Benchmark Results

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