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
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
Online Photometric Calibration of Automatic Gain Thermal Infrared CamerasCode1
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
TartanVO: A Generalizable Learning-based VOCode1
Unsupervised Deep Persistent Monocular Visual Odometry and Depth Estimation in Extreme Environments—0
Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAMCode1
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation—0
Map-Based Temporally Consistent Geolocalization through Learning Motion Trajectories—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
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motionCode2
DynaMiTe: A Dynamic Local Motion Model with Temporal Constraints for Robust Real-Time Feature Matching—0
Event-based Stereo Visual OdometryCode1
What My Motion tells me about Your Pose: A Self-Supervised Monocular 3D Vehicle Detector—0
Deep Keypoint-Based Camera Pose Estimation with Geometric ConstraintsCode1
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Benchmark Results

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