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 241–250 of 408 papers

TitleStatusHype
UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a Generic Framework for Handling Common Camera Distortion Models—0
Virtual Testbed for Monocular Visual Navigation of Small Unmanned Aircraft Systems—0
Information-Driven Direct RGB-D Odometry—0
Self-Supervised Deep Visual Odometry with Online Adaptation—0
BIT-VO: Visual Odometry at 300 FPS using Binary Features from the Focal Plane—0
Masked GANs for Unsupervised Depth and Pose Prediction with Scale Consistency—0
Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching—0
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings—0
OmniSLAM: Omnidirectional Localization and Dense Mapping for Wide-baseline Multi-camera Systems—0
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry—0
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Benchmark Results

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