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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
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
LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative PlaneCode1
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
360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan EstimationCode1
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
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view StereoCode1
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
MotionHint: Self-Supervised Monocular Visual Odometry with Motion ConstraintsCode1
Towards Robust Monocular Visual Odometry for Flying Robots on Planetary MissionsCode1
Recalibrating the KITTI Dataset Camera Setup for Improved Odometry AccuracyCode0
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation—0
Smooth Mesh Estimation from Depth Data using Non-Smooth Convex Optimization—0
Instant Visual Odometry Initialization for Mobile ARCode1
Deep Feature Tracker: A Novel Application for Deep Convolutional Neural Networks—0
Feature-based Event Stereo Visual Odometry—0
Uncertainty-Aware Camera Pose Estimation from Points and Lines—0
Visual Odometry with an Event Camera Using Continuous Ray Warping and Volumetric Contrast Maximization—0
RAM-VO: Less is more in Visual OdometryCode1
A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation—0
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation—0
DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry—0
PCA Event-Based Optical Flow for Visual Odometry—0
VOLDOR: Visual Odometry from Log-logistic Dense Optical flow ResidualsCode1
VOLDOR-SLAM: For the Times When Feature-Based or Direct Methods Are Not Good EnoughCode1
Generalizing to the Open World: Deep Visual Odometry with Online Adaptation—0
MBA-VO: Motion Blur Aware Visual Odometry—0
Unsupervised Learning of Depth Estimation and Visual Odometry for Sparse Light Field Cameras—0
Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry—0
Deep Online Correction for Monocular Visual Odometry—0
Spatiotemporal Registration for Event-based Visual OdometryCode1
DF-VO: What Should Be Learnt for Visual Odometry?Code1
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous DrivingCode0
OV^2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time ApplicationsCode1
Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching—0
Tight Integration of Feature-based Relocalization in Monocular Direct Visual Odometry—0
Accurate and Robust Scale Recovery for Monocular Visual Odometry Based on Plane Geometry—0
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Benchmark Results

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