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 301–350 of 408 papers

TitleStatusHype
Sparse2Dense: From direct sparse odometry to dense 3D reconstruction—0
Pose Graph Optimization for Unsupervised Monocular Visual Odometry—0
A Unified Formulation for Visual Odometry—0
Sparse Representations for Object and Ego-motion Estimation in Dynamic ScenesCode0
Ground Plane based Absolute Scale Estimation for Monocular Visual Odometry—0
ROVO: Robust Omnidirectional Visual Odometry for Wide-baseline Wide-FOV Camera SystemsCode0
Beyond Photometric Loss for Self-Supervised Ego-Motion EstimationCode0
A Generative Map for Image-based Camera LocalizationCode0
A General Optimization-based Framework for Local Odometry Estimation with Multiple SensorsCode0
Exploring Deep Spiking Neural Networks for Automated Driving Applications—0
Epipolar Geometry based Learning of Multi-view Depth and Ego-Motion from Monocular Sequences—0
SfMLearner++: Learning Monocular Depth & Ego-Motion using Meaningful Geometric Constraints—0
Deep Global-Relative Networks for End-to-End 6-DoF Visual Localization and Odometry—0
Self-Improving Visual Odometry—0
Network Uncertainty Informed Semantic Feature Selection for Visual SLAMCode0
MagicVO: End-to-End Monocular Visual Odometry through Deep Bi-directional Recurrent Convolutional Neural Network—0
Guided Feature Selection for Deep Visual Odometry—0
CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth PredictionCode0
Geometric-based Line Segment Tracking for HDR Stereo Sequences—0
The Aqualoc Dataset: Towards Real-Time Underwater Localization from a Visual-Inertial-Pressure Acquisition System—0
DSVO: Direct Stereo Visual Odometry—0
GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks—0
DLO: Direct LiDAR Odometry for 2.5D Outdoor Environment—0
Scale-Awareness of Light Field Camera based Visual Odometry—0
VSO: Visual Semantic Odometry—0
Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras—0
Direct Sparse Odometry with Rolling Shutter—0
Deep Visual Odometry Methods for Mobile Robots—0
A Synchronized Stereo and Plenoptic Visual Odometry Dataset—0
The Double Sphere Camera ModelCode0
Dynamic Objects Segmentation for Visual Localization in Urban Environments—0
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry—0
Real-time Monocular Visual Odometry for Turbid and Dynamic Underwater Environments—0
SIPs: Succinct Interest Points from Unsupervised Inlierness Probability LearningCode0
Evolution of Visual Odometry Techniques—0
FDMO: Feature Assisted Direct Monocular Odometry—0
Geometric Consistency for Self-Supervised End-to-End Visual Odometry—0
Evaluation of the visual odometry methods for semi-dense real-time—0
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature ReconstructionCode0
Deep Auxiliary Learning for Visual Localization and OdometryCode0
Vision-Aided Absolute Trajectory Estimation Using an Unsupervised Deep Network with Online Error Correction—0
Learning monocular visual odometry with dense 3D mapping from dense 3D flow—0
Fast Cylinder and Plane Extraction from Depth Cameras for Visual OdometryCode0
SalientDSO: Bringing Attention to Direct Sparse OdometryCode0
Global Pose Estimation with an Attention-based Recurrent Network—0
LoopSmart: Smart Visual SLAM Through Surface Loop Closure—0
Learning Depth from Monocular Videos using Direct MethodsCode0
Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments—0
Online Photometric Calibration for Auto Exposure Video for Realtime Visual Odometry and SLAM—0
Scale Recovery for Monocular Visual Odometry Using Depth Estimated With Deep Convolutional Neural Fields—0
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Benchmark Results

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