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 151–175 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
MDN-VO: Estimating Visual Odometry with Confidence—0
Multi-Camera Sensor Fusion for Visual Odometry using Deep Uncertainty Estimation—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
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Benchmark Results

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