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
Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras—0
Stereo Visual Odometry with Deep Learning-Based Point and Line Feature Matching using an Attention Graph Neural Network—0
Structureless VIO—0
SuperPrimitive: Scene Reconstruction at a Primitive Level—0
Swipe Mosaics from Video—0
Ternary-Type Opacity and Hybrid Odometry for RGB NeRF-SLAM—0
TerrainMesh: Metric-Semantic Terrain Reconstruction from Aerial Images Using Joint 2D-3D Learning—0
The Aqualoc Dataset: Towards Real-Time Underwater Localization from a Visual-Inertial-Pressure Acquisition System—0
The Empirical Impact of Forgetting and Transfer in Continual Visual Odometry—0
Theory and Practice of Structure-From-Motion Using Affine Correspondences—0
Show:102550
← PrevPage 26 of 41Next →

Benchmark Results

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