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 251–260 of 408 papers

TitleStatusHype
AD-VO: Scale-Resilient Visual Odometry Using Attentive Disparity Map—0
Neural Outlier Rejection for Self-Supervised Keypoint LearningCode0
Joint Forward-Backward Visual Odometry for Stereo Cameras—0
ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization—0
Deep Direct Visual Odometry—0
Training Deep SLAM on Single Frames—0
Self-Supervised 3D Keypoint Learning for Ego-motion EstimationCode0
A Keyframe-based Continuous Visual SLAM for RGB-D Cameras via Nonparametric Joint Geometric and Appearance RepresentationCode0
SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance SegmentationCode0
Multivariate Uncertainty in Deep Learning—0
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Benchmark Results

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