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

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Showing 201–250 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
SiLK: Simple Learned Keypoints—0
Simultaneously Learning Corrections and Error Models for Geometry-based Visual Odometry Methods—0
Single-Photon 3D Imaging with Equi-Depth Photon Histograms—0
SLAM in the Dark: Self-Supervised Learning of Pose, Depth and Loop-Closure from Thermal Images—0
Smooth Mesh Estimation from Depth Data using Non-Smooth Convex Optimization—0
Some Aspects of Geometric Computer Vision for Analysing Dynamical Scenes focusing Automotive Applications—0
Sparse2Dense: From direct sparse odometry to dense 3D reconstruction—0
SPLODE: Semi-Probabilistic Point and Line Odometry with Depth Estimation from RGB-D Camera Motion—0
SPOT: Point Cloud Based Stereo Visual Place Recognition for Similar and Opposing Viewpoints—0
Stereo-based Multi-motion Visual Odometry for Mobile Robots—0
Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras—0
Stereo Visual Odometry with Deep Learning-Based Point and Line Feature Matching using an Attention Graph Neural Network—0
Structureless VIO—0
SuperPrimitive: Scene Reconstruction at a Primitive Level—0
Swipe Mosaics from Video—0
Ternary-Type Opacity and Hybrid Odometry for RGB NeRF-SLAM—0
TerrainMesh: Metric-Semantic Terrain Reconstruction from Aerial Images Using Joint 2D-3D Learning—0
The Aqualoc Dataset: Towards Real-Time Underwater Localization from a Visual-Inertial-Pressure Acquisition System—0
The Empirical Impact of Forgetting and Transfer in Continual Visual Odometry—0
Theory and Practice of Structure-From-Motion Using Affine Correspondences—0
The POLAR Traverse Dataset: A Dataset of Stereo Camera Images Simulating Traverses across Lunar Polar Terrain under Extreme Lighting Conditions—0
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation—0
Tight Integration of Feature-based Relocalization in Monocular Direct Visual Odometry—0
Tightly-Coupled LiDAR-Visual SLAM Based on Geometric Features for Mobile Agents—0
Topometric Localization with Deep Learning—0
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Benchmark Results

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