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 11–20 of 408 papers

TitleStatusHype
ForestVO: Enhancing Visual Odometry in Forest Environments through ForestGlueCode0
Incorporating GNSS Information with LIDAR-Inertial Odometry for Accurate Land-Vehicle Localization—0
Towards Mobile Sensing with Event Cameras on High-agility Resource-constrained Devices: A Survey—0
Scene-agnostic Pose Regression for Visual Localization—0
Geometry-Constrained Monocular Scale Estimation Using Semantic Segmentation for Dynamic Scenes—0
MarsLGPR: Mars Rover Localization with Ground Penetrating Radar—0
MUSt3R: Multi-view Network for Stereo 3D ReconstructionCode3
SLAM in the Dark: Self-Supervised Learning of Pose, Depth and Loop-Closure from Thermal Images—0
pySLAM: An Open-Source, Modular, and Extensible Framework for SLAMCode7
Vision-based Geo-Localization of Future Mars Rotorcraft in Challenging Illumination Conditions—0
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Benchmark Results

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