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 131–140 of 408 papers

TitleStatusHype
Jointly Optimized Global-Local Visual Localization of UAVs—0
XVO: Generalized Visual Odometry via Cross-Modal Self-Training—0
ObVi-SLAM: Long-Term Object-Visual SLAM—0
Conformalized Multimodal Uncertainty Regression and Reasoning—0
Dive Deeper into Rectifying Homography for Stereo Camera Online Self-Calibration—0
Robot Localization and Mapping Final Report -- Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry—0
Deep Learning for Visual Localization and Mapping: A Survey—0
4DRVO-Net: Deep 4D Radar-Visual Odometry Using Multi-Modal and Multi-Scale Adaptive Fusion—0
Mono-hydra: Real-time 3D scene graph construction from monocular camera input with IMUCode0
Stereo Visual Odometry with Deep Learning-Based Point and Line Feature Matching using an Attention Graph Neural Network—0
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Benchmark Results

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