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 71–80 of 408 papers

TitleStatusHype
Amirkabir campus dataset: Real-world challenges and scenarios of Visual Inertial Odometry (VIO) for visually impaired peopleCode1
LEAP-VO: Long-term Effective Any Point Tracking for Visual OdometryCode3
SR-LIVO: LiDAR-Inertial-Visual Odometry and Mapping with Sweep ReconstructionCode2
NeRF-VO: Real-Time Sparse Visual Odometry with Neural Radiance Fields—0
Ternary-Type Opacity and Hybrid Odometry for RGB NeRF-SLAM—0
Brain-Inspired Visual Odometry: Balancing Speed and Interpretability through a System of Systems ApproachCode0
Trajectory Approximation of Video Based on Phase Correlation for Forward Facing Camera—0
Loss it right: Euclidean and Riemannian Metrics in Learning-based Visual OdometryCode0
Deep Event Visual OdometryCode1
SuperPrimitive: Scene Reconstruction at a Primitive Level—0
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Benchmark Results

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