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 401–408 of 408 papers

TitleStatusHype
DPC-Net: Deep Pose Correction for Visual LocalizationCode0
WGANVO: Monocular Visual Odometry based on Generative Adversarial NetworksCode0
Extending Monocular Visual Odometry to Stereo Camera Systems by Scale OptimizationCode0
The Double Sphere Camera ModelCode0
SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance SegmentationCode0
Network Uncertainty Informed Semantic Feature Selection for Visual SLAMCode0
SIPs: Succinct Interest Points from Unsupervised Inlierness Probability LearningCode0
The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAMCode0
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Benchmark Results

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