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 151–175 of 408 papers

TitleStatusHype
Lightweight, Uncertainty-Aware Conformalized Visual Odometry—0
LunarNav: Crater-based Localization for Long-range Autonomous Lunar Rover Navigation—0
EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting Ego-Motion Rigidity—0
SiLK: Simple Learned Keypoints—0
4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions—0
A Combined Approach Toward Consistent Reconstructions of Indoor Spaces Based on 6D RGB-D Odometry and KinectFusion—0
BALF: Simple and Efficient Blur Aware Local Feature Detector—0
Vision-based localization methods under GPS-denied conditions—0
Expansion of Visual Hints for Improved Generalization in Stereo Matching—0
A geometry method for LED mapping—0
Initial Orbit Determination from Only Heading Measurements—0
Unsupervised Visual Odometry and Action Integration for PointGoal Navigation in Indoor Environment—0
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment—0
Visual Odometry with Neuromorphic Resonator Networks—0
Pseudo-LiDAR for Visual Odometry—0
Pixel-Wise Prediction based Visual Odometry via Uncertainty Estimation—0
E-Graph: Minimal Solution for Rigid Rotation with Extensibility Graphs—0
Physical Passive Patch Adversarial Attacks on Visual Odometry SystemsCode0
Drift Reduction for Monocular Visual Odometry of Intelligent Vehicles using Feedforward Neural Networks—0
Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning—0
AFT-VO: Asynchronous Fusion Transformers for Multi-View Visual Odometry Estimation—0
DynPL-SVO: A Robust Stereo Visual Odometry for Dynamic Scenes—0
Dynamic Dense RGB-D SLAM using Learning-based Visual Odometry—0
TerrainMesh: Metric-Semantic Terrain Reconstruction from Aerial Images Using Joint 2D-3D Learning—0
Event-aided Direct Sparse Odometry—0
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Benchmark Results

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