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 251–275 of 408 papers

TitleStatusHype
Deep Direct Visual Odometry—0
Self-Supervised 3D Keypoint Learning for Ego-motion EstimationCode0
A Keyframe-based Continuous Visual SLAM for RGB-D Cameras via Nonparametric Joint Geometric and Appearance RepresentationCode0
SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance SegmentationCode0
Multivariate Uncertainty in Deep Learning—0
A Robust Pavement Mapping System Based on Normal-Constrained Stereo Visual Odometry—0
Stereo-based Multi-motion Visual Odometry for Mobile Robots—0
Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light—0
DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network—0
Direct Visual-Inertial Odometry with Semi-Dense Mapping—0
Two Stream Networks for Self-Supervised Ego-Motion Estimation—0
Unsupervised Collaborative Learning of Keyframe Detection and Visual Odometry Towards Monocular Deep SLAM—0
Adaptive Continuous Visual Odometry from RGB-D ImagesCode0
ViLiVO: Virtual LiDAR-Visual Odometry for an Autonomous Vehicle with a Multi-Camera System—0
Robust Monocular Edge Visual Odometry through Coarse-to-Fine Data Association—0
Visual Odometry Revisited: What Should Be Learnt?Code1
DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding SensingCode0
A Fast and Robust Place Recognition Approach for Stereo Visual Odometry Using LiDAR DescriptorsCode0
DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination—0
Learning Residual Flow as Dynamic Motion from Stereo Videos—0
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular VideoCode1
Improving Visual Feature Extraction in Glacial Environments—0
Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry—0
Multi-Spectral Visual Odometry without Explicit Stereo Matching—0
Some Aspects of Geometric Computer Vision for Analysing Dynamical Scenes focusing Automotive Applications—0
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Benchmark Results

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