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 1–50 of 408 papers

TitleStatusHype
DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model—0
UFM: A Simple Path towards Unified Dense Correspondence with Flow—0
ZeroVO: Visual Odometry with Minimal Assumptions—0
cuVSLAM: CUDA accelerated visual odometry and mapping—0
eStonefish-scenes: A synthetically generated dataset for underwater event-based optical flow prediction tasks—0
Structureless VIO—0
SafeNav: Safe Path Navigation using Landmark Based Localization in a GPS-denied Environment—0
Large-scale visual SLAM for in-the-wild videos—0
An Online Adaptation Method for Robust Depth Estimation and Visual Odometry in the Open WorldCode0
MonoGS++: Fast and Accurate Monocular RGB Gaussian SLAM—0
ForestVO: Enhancing Visual Odometry in Forest Environments through ForestGlueCode0
Towards Mobile Sensing with Event Cameras on High-agility Resource-constrained Devices: A Survey—0
Incorporating GNSS Information with LIDAR-Inertial Odometry for Accurate Land-Vehicle Localization—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
LIR-LIVO: A Lightweight,Robust LiDAR/Vision/Inertial Odometry with Illumination-Resilient Deep FeaturesCode2
BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement ModuleCode0
MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing—0
Leveraging Consistent Spatio-Temporal Correspondence for Robust Visual OdometryCode0
RoMeO: Robust Metric Visual Odometry—0
eCARLA-scenes: A synthetically generated dataset for event-based optical flow predictionCode0
An indoor DSO-based ceiling-vision odometry system for indoor industrial environments—0
InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human NavigationCode0
Robust Monocular Visual Odometry using Curriculum Learning—0
MPVO: Motion-Prior based Visual Odometry for PointGoal Navigation—0
LGU-SLAM: Learnable Gaussian Uncertainty Matching with Deformable Correlation Sampling for Deep Visual SLAMCode1
LiVisSfM: Accurate and Robust Structure-from-Motion with LiDAR and Visual Cues—0
ESVO2: Direct Visual-Inertial Odometry with Stereo Event CamerasCode2
IncEventGS: Pose-Free Gaussian Splatting from a Single Event CameraCode2
ORB-SfMLearner: ORB-Guided Self-supervised Visual Odometry with Selective Online Adaptation—0
MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry—0
Robust Vehicle Localization and Tracking in Rain using Street MapsCode0
Efficient Camera Exposure Control for Visual Odometry via Deep Reinforcement LearningCode1
Creating a Segmented Pointcloud of Grapevines by Combining Multiple Viewpoints Through Visual Odometry—0
Single-Photon 3D Imaging with Equi-Depth Photon Histograms—0
ES-PTAM: Event-based Stereo Parallel Tracking and MappingCode1
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual OdometryCode7
Deep Patch Visual SLAMCode4
CodedVO: Coded Visual Odometry—0
Reinforcement Learning Meets Visual OdometryCode3
Semi-Supervised Pipe Video Temporal Defect Interval Localization—0
Attenuation-Aware Weighted Optical Flow with Medium Transmission Map for Learning-based Visual Odometry in Underwater terrainCode0
Is That Rain? Understanding Effects on Visual Odometry Performance for Autonomous UAVs and Efficient DNN-based Rain Classification at the Edge—0
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy—0
Self-supervised Pretraining and Finetuning for Monocular Depth and Visual Odometry—0
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Benchmark Results

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