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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 151–200 of 408 papers

TitleStatusHype
Lightweight, Uncertainty-Aware Conformalized Visual Odometry—0
LunarNav: Crater-based Localization for Long-range Autonomous Lunar Rover Navigation—0
EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting Ego-Motion Rigidity—0
SiLK: Simple Learned Keypoints—0
4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions—0
A Combined Approach Toward Consistent Reconstructions of Indoor Spaces Based on 6D RGB-D Odometry and KinectFusion—0
BALF: Simple and Efficient Blur Aware Local Feature Detector—0
Vision-based localization methods under GPS-denied conditions—0
Expansion of Visual Hints for Improved Generalization in Stereo Matching—0
A geometry method for LED mapping—0
Initial Orbit Determination from Only Heading Measurements—0
Unsupervised Visual Odometry and Action Integration for PointGoal Navigation in Indoor Environment—0
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment—0
Visual Odometry with Neuromorphic Resonator Networks—0
Pseudo-LiDAR for Visual Odometry—0
Pixel-Wise Prediction based Visual Odometry via Uncertainty Estimation—0
E-Graph: Minimal Solution for Rigid Rotation with Extensibility Graphs—0
Physical Passive Patch Adversarial Attacks on Visual Odometry SystemsCode0
Drift Reduction for Monocular Visual Odometry of Intelligent Vehicles using Feedforward Neural Networks—0
Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning—0
AFT-VO: Asynchronous Fusion Transformers for Multi-View Visual Odometry Estimation—0
DynPL-SVO: A Robust Stereo Visual Odometry for Dynamic Scenes—0
Dynamic Dense RGB-D SLAM using Learning-based Visual Odometry—0
TerrainMesh: Metric-Semantic Terrain Reconstruction from Aerial Images Using Joint 2D-3D Learning—0
Event-aided Direct Sparse Odometry—0
Improving Monocular Visual Odometry Using Learned Depth—0
Visual Odometry for RGB-D Cameras—0
Lateral Ego-Vehicle Control without Supervision using Point Clouds—0
Lunar Rover Localization Using Craters as Landmarks—0
RAUM-VO: Rotational Adjusted Unsupervised Monocular Visual Odometry—0
Towards Scale Consistent Monocular Visual Odometry by Learning from the Virtual World—0
A high-precision self-supervised monocular visual odometry in foggy weather based on robust cycled generative adversarial networks and multi-task learning aided depth estimation—0
Asynchronous Optimisation for Event-based Visual Odometry—0
Vision-based Large-scale 3D Semantic Mapping for Autonomous Driving Applications—0
Efficient Globally-Optimal Correspondence-Less Visual Odometry for Planar Ground Vehicles—0
DEVO: Depth-Event Camera Visual Odometry in Challenging Conditions—0
Benchmarking Pedestrian Odometry: The Brown Pedestrian Odometry Dataset (BPOD)—0
Multi-Camera Sensor Fusion for Visual Odometry using Deep Uncertainty Estimation—0
MDN-VO: Estimating Visual Odometry with Confidence—0
Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving SystemsCode0
GreenPCO: An Unsupervised Lightweight Point Cloud Odometry Method—0
3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video—0
Learning Generalized Visual Odometry Using Position-Aware Optical Flow and Geometric Bundle Adjustment—0
MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence—0
MSC-VO: Exploiting Manhattan and Structural Constraints for Visual Odometry—0
Robust Edge-Direct Visual Odometry based on CNN edge detection and Shi-Tomasi corner optimization—0
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation—0
LOF: Structure-Aware Line Tracking based on Optical Flow—0
Recalibrating the KITTI Dataset Camera Setup for Improved Odometry AccuracyCode0
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation—0
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Benchmark Results

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