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 181–190 of 408 papers

TitleStatusHype
RAM-VO: Less is more in Visual OdometryCode1
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
VOLDOR: Visual Odometry from Log-logistic Dense Optical flow ResidualsCode1
VOLDOR-SLAM: For the Times When Feature-Based or Direct Methods Are Not Good EnoughCode1
Generalizing to the Open World: Deep Visual Odometry with Online Adaptation—0
MBA-VO: Motion Blur Aware Visual Odometry—0
Show:102550
← PrevPage 19 of 41Next →

Benchmark Results

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