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 381–390 of 408 papers

TitleStatusHype
FlyCap: Markerless Motion Capture Using Multiple Autonomous Flying Cameras—0
FSNet: Redesign Self-Supervised MonoDepth for Full-Scale Depth Prediction for Autonomous Driving—0
GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks—0
Generalizing to the Open World: Deep Visual Odometry with Online Adaptation—0
Geometric-based Line Segment Tracking for HDR Stereo Sequences—0
Geometric Consistency for Self-Supervised End-to-End Visual Odometry—0
Geometry-Constrained Monocular Scale Estimation Using Semantic Segmentation for Dynamic Scenes—0
Global Pose Estimation with an Attention-based Recurrent Network—0
GreenPCO: An Unsupervised Lightweight Point Cloud Odometry Method—0
Gradient-based Camera Exposure Control for Outdoor Mobile Platforms—0
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Benchmark Results

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