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
Robust Edge-Direct Visual Odometry based on CNN edge detection and Shi-Tomasi corner optimization—0
Robust Monocular Visual Odometry using Curriculum Learning—0
Robust Real-time RGB-D Visual Odometry in Dynamic Environments via Rigid Motion Model—0
Robust RGB-D Odometry Using Point and Line Features—0
Robust Monocular Edge Visual Odometry through Coarse-to-Fine Data Association—0
Robust Stereo Feature Descriptor for Visual Odometry—0
Learning Generalized Visual Odometry Using Position-Aware Optical Flow and Geometric Bundle Adjustment—0
RoMeO: Robust Metric Visual Odometry—0
SafeNav: Safe Path Navigation using Landmark Based Localization in a GPS-denied Environment—0
Salient Sparse Visual Odometry With Pose-Only Supervision—0
Scale-Awareness of Light Field Camera based Visual Odometry—0
Scale Recovery for Monocular Visual Odometry Using Depth Estimated With Deep Convolutional Neural Fields—0
Scene-agnostic Pose Regression for Visual Localization—0
Scene Motion Decomposition for Learnable Visual Odometry—0
Secure Navigation using Landmark-based Localization in a GPS-denied Environment—0
Self-Improving Visual Odometry—0
Self-Supervised Deep Visual Odometry with Online Adaptation—0
Self-supervised Pretraining and Finetuning for Monocular Depth and Visual Odometry—0
Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry—0
Semantic Nearest Neighbor Fields Monocular Edge Visual-Odometry—0
Semi-Dense Visual Odometry for RGB-D Cameras Using Approximate Nearest Neighbour Fields—0
Semi-Supervised Pipe Video Temporal Defect Interval Localization—0
Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry—0
SfMLearner++: Learning Monocular Depth & Ego-Motion using Meaningful Geometric Constraints—0
SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation with Stacked Generative Adversarial Networks—0
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Benchmark Results

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