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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 21–30 of 408 papers

TitleStatusHype
LIR-LIVO: A Lightweight,Robust LiDAR/Vision/Inertial Odometry with Illumination-Resilient Deep FeaturesCode2
BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement ModuleCode0
MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing—0
Leveraging Consistent Spatio-Temporal Correspondence for Robust Visual OdometryCode0
RoMeO: Robust Metric Visual Odometry—0
eCARLA-scenes: A synthetically generated dataset for event-based optical flow predictionCode0
An indoor DSO-based ceiling-vision odometry system for indoor industrial environments—0
InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human NavigationCode0
Robust Monocular Visual Odometry using Curriculum Learning—0
MPVO: Motion-Prior based Visual Odometry for PointGoal Navigation—0
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Benchmark Results

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