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 201–250 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
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation—0
Monocular Rotational Odometry with Incremental Rotation Averaging and Loop Closure—0
Deep Monocular Visual Odometry for Ground Vehicle—0
A Review of Visual Odometry Methods and Its Applications for Autonomous Driving—0
Moving object detection for visual odometry in a dynamic environment based on occlusion accumulation—0
4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving—0
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents—0
Approaches, Challenges, and Applications for Deep Visual Odometry: Toward to Complicated and Emerging Areas—0
Large Scale Photometric Bundle Adjustment—0
Exploring the Impacts from Datasets to Monocular Depth Estimation (MDE) Models with MineNavi—0
DynaMiTe: A Dynamic Local Motion Model with Temporal Constraints for Robust Real-Time Feature Matching—0
Simultaneously Learning Corrections and Error Models for Geometry-based Visual Odometry Methods—0
What My Motion tells me about Your Pose: A Self-Supervised Monocular 3D Vehicle Detector—0
WGANVO: Monocular Visual Odometry based on Generative Adversarial NetworksCode0
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling—0
UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a Generic Framework for Handling Common Camera Distortion Models—0
Virtual Testbed for Monocular Visual Navigation of Small Unmanned Aircraft Systems—0
Information-Driven Direct RGB-D Odometry—0
Self-Supervised Deep Visual Odometry with Online Adaptation—0
BIT-VO: Visual Odometry at 300 FPS using Binary Features from the Focal Plane—0
Masked GANs for Unsupervised Depth and Pose Prediction with Scale Consistency—0
Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching—0
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings—0
OmniSLAM: Omnidirectional Localization and Dense Mapping for Wide-baseline Multi-camera Systems—0
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry—0
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Benchmark Results

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