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 101–125 of 408 papers

TitleStatusHype
Dynamic Dense RGB-D SLAM using Learning-based Visual Odometry—0
Dynamic Objects Segmentation for Visual Localization in Urban Environments—0
DynaMiTe: A Dynamic Local Motion Model with Temporal Constraints for Robust Real-Time Feature Matching—0
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction—0
DynPL-SVO: A Robust Stereo Visual Odometry for Dynamic Scenes—0
DLO: Direct LiDAR Odometry for 2.5D Outdoor Environment—0
Canny-VO: Visual Odometry with RGB-D Cameras based on Geometric 3D-2D Edge Alignment—0
An Attention-Based Deep Learning Architecture for Real-Time Monocular Visual Odometry: Applications to GPS-free Drone Navigation—0
Feature-based Event Stereo Visual Odometry—0
Efficient Domain Adaptation for Endoscopic Visual Odometry—0
Efficient Globally-Optimal Correspondence-Less Visual Odometry for Planar Ground Vehicles—0
EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation—0
E-Graph: Minimal Solution for Rigid Rotation with Extensibility Graphs—0
Generalizing to the Open World: Deep Visual Odometry with Online Adaptation—0
Dive Deeper into Rectifying Homography for Stereo Camera Online Self-Calibration—0
Distilling Knowledge From a Deep Pose Regressor Network—0
Enhancing self-supervised monocular depth estimation with traditional visual odometry—0
Epipolar Geometry based Learning of Multi-view Depth and Ego-Motion from Monocular Sequences—0
A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation—0
eStonefish-scenes: A synthetically generated dataset for underwater event-based optical flow prediction tasks—0
Discovering Multiple Algorithm Configurations—0
Evaluation of the visual odometry methods for semi-dense real-time—0
Event-aided Direct Sparse Odometry—0
An Accurate and Real-time Relative Pose Estimation from Triple Point-line Images by Decoupling Rotation and Translation—0
Exploring Deep Spiking Neural Networks for Automated Driving Applications—0
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Benchmark Results

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