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 226–250 of 408 papers

TitleStatusHype
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