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 351–360 of 408 papers

TitleStatusHype
DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural NetworksCode0
Playing for Benchmarks—0
UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning—0
LS-VO: Learning Dense Optical Subspace for Robust Visual Odometry Estimation—0
DPC-Net: Deep Pose Correction for Visual LocalizationCode0
How to Train a CAT: Learning Canonical Appearance Transformations for Direct Visual Localization Under Illumination ChangeCode0
Robust Stereo Feature Descriptor for Visual Odometry—0
Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras—0
Gradient-based Camera Exposure Control for Outdoor Mobile Platforms—0
Deep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based Visual Odometry Approach for Endoscopic Capsule Robots—0
Show:102550
← PrevPage 36 of 41Next →

Benchmark Results

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