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 201–210 of 408 papers

TitleStatusHype
Smooth Mesh Estimation from Depth Data using Non-Smooth Convex Optimization—0
Deep Feature Tracker: A Novel Application for Deep Convolutional Neural Networks—0
Feature-based Event Stereo Visual Odometry—0
Uncertainty-Aware Camera Pose Estimation from Points and Lines—0
Visual Odometry with an Event Camera Using Continuous Ray Warping and Volumetric Contrast Maximization—0
A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation—0
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation—0
DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry—0
PCA Event-Based Optical Flow for Visual Odometry—0
Generalizing to the Open World: Deep Visual Odometry with Online Adaptation—0
Show:102550
← PrevPage 21 of 41Next →

Benchmark Results

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