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 191–200 of 408 papers

TitleStatusHype
Direct Sparse Odometry with Rolling Shutter—0
Bi-objective Optimization for Robust RGB-D Visual Odometry—0
A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation—0
Joint Forward-Backward Visual Odometry for Stereo Cameras—0
Lightweight, Uncertainty-Aware Conformalized Visual Odometry—0
Is That Rain? Understanding Effects on Visual Odometry Performance for Autonomous UAVs and Efficient DNN-based Rain Classification at the Edge—0
LiVisSfM: Accurate and Robust Structure-from-Motion with LiDAR and Visual Cues—0
Local Supports Global: Deep Camera Relocalization with Sequence Enhancement—0
Direct Monocular Odometry Using Points and Lines—0
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents—0
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Benchmark Results

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