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

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Showing 51–100 of 408 papers

TitleStatusHype
Spatiotemporal Registration for Event-based Visual OdometryCode1
DF-VO: What Should Be Learnt for Visual Odometry?Code1
OV^2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time ApplicationsCode1
Online Photometric Calibration of Automatic Gain Thermal Infrared CamerasCode1
TartanVO: A Generalizable Learning-based VOCode1
Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAMCode1
Event-based Stereo Visual OdometryCode1
Deep Keypoint-Based Camera Pose Estimation with Geometric ConstraintsCode1
Robust Ego and Object 6-DoF Motion Estimation and TrackingCode1
Feature-metric Loss for Self-supervised Learning of Depth and EgomotionCode1
EndoSLAM Dataset and An Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearnerCode1
Robot Perception enables Complex Navigation Behavior via Self-Supervised LearningCode1
A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with UncertaintyCode1
Towards Better Generalization: Joint Depth-Pose Learning without PoseNetCode1
Nonparametric Continuous Sensor RegistrationCode1
Visual Odometry Revisited: What Should Be Learnt?Code1
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular VideoCode1
UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching VideosCode1
The TUM VI Benchmark for Evaluating Visual-Inertial OdometryCode1
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D CamerasCode1
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
MarsLGPR: Mars Rover Localization with Ground Penetrating Radar—0
Geometry-Constrained Monocular Scale Estimation Using Semantic Segmentation for Dynamic Scenes—0
SLAM in the Dark: Self-Supervised Learning of Pose, Depth and Loop-Closure from Thermal Images—0
Vision-based Geo-Localization of Future Mars Rotorcraft in Challenging Illumination Conditions—0
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
LiVisSfM: Accurate and Robust Structure-from-Motion with LiDAR and Visual Cues—0
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
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Benchmark Results

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