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 76–100 of 408 papers

TitleStatusHype
Reducing Drift in Visual Odometry by Inferring Sun Direction Using a Bayesian Convolutional Neural NetworkCode0
Recalibrating the KITTI Dataset Camera Setup for Improved Odometry AccuracyCode0
Continuous Direct Sparse Visual Odometry from RGB-D ImagesCode0
Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and DepthCode0
Self-Supervised 3D Keypoint Learning for Ego-motion EstimationCode0
Adaptive Continuous Visual Odometry from RGB-D ImagesCode0
An Online Adaptation Method for Robust Depth Estimation and Visual Odometry in the Open WorldCode0
CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth PredictionCode0
A Fast and Robust Place Recognition Approach for Stereo Visual Odometry Using LiDAR DescriptorsCode0
Physical Passive Patch Adversarial Attacks on Visual Odometry SystemsCode0
PL-SLAM: a Stereo SLAM System through the Combination of Points and Line SegmentsCode0
DPC-Net: Deep Pose Correction for Visual LocalizationCode0
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous DrivingCode0
Probabilistic RGB-D Odometry based on Points, Lines and Planes Under Depth UncertaintyCode0
Real-Time Panoramic Tracking for Event CamerasCode0
BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement ModuleCode0
Brain-Inspired Visual Odometry: Balancing Speed and Interpretability through a System of Systems ApproachCode0
Direct Visual Odometry using Bit-PlanesCode0
Mono-hydra: Real-time 3D scene graph construction from monocular camera input with IMUCode0
MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based TasksCode0
Loss it right: Euclidean and Riemannian Metrics in Learning-based Visual OdometryCode0
Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving SystemsCode0
Direct Sparse OdometryCode0
DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding SensingCode0
Neural Outlier Rejection for Self-Supervised Keypoint LearningCode0
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Benchmark Results

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