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 201–225 of 408 papers

TitleStatusHype
Smooth Mesh Estimation from Depth Data using Non-Smooth Convex Optimization—0
Deep Feature Tracker: A Novel Application for Deep Convolutional Neural Networks—0
Feature-based Event Stereo Visual Odometry—0
Uncertainty-Aware Camera Pose Estimation from Points and Lines—0
Visual Odometry with an Event Camera Using Continuous Ray Warping and Volumetric Contrast Maximization—0
A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation—0
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation—0
DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry—0
PCA Event-Based Optical Flow for Visual Odometry—0
Generalizing to the Open World: Deep Visual Odometry with Online Adaptation—0
MBA-VO: Motion Blur Aware Visual Odometry—0
Unsupervised Learning of Depth Estimation and Visual Odometry for Sparse Light Field Cameras—0
Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry—0
Deep Online Correction for Monocular Visual Odometry—0
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous DrivingCode0
Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching—0
Tight Integration of Feature-based Relocalization in Monocular Direct Visual Odometry—0
Accurate and Robust Scale Recovery for Monocular Visual Odometry Based on Plane Geometry—0
Canny-VO: Visual Odometry with RGB-D Cameras based on Geometric 3D-2D Edge Alignment—0
Transformer Guided Geometry Model for Flow-Based Unsupervised Visual Odometry—0
Depth Completion using Piecewise Planar Model—0
Exploring Self-Attention for Visual Odometry—0
EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation—0
Unsupervised Deep Persistent Monocular Visual Odometry and Depth Estimation in Extreme Environments—0
Map-Based Temporally Consistent Geolocalization through Learning Motion Trajectories—0
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Benchmark Results

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