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

Showing 5175 of 408 papers

TitleStatusHype
S2LD: Sparse-to-Local-Dense Matching for Geometry-Guided Correspondence EstimationCode1
LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative PlaneCode1
Instant Visual Odometry Initialization for Mobile ARCode1
iMatching: Imperative Correspondence LearningCode1
Is Mapping Necessary for Realistic PointGoal Navigation?Code1
Towards Better Generalization: Joint Depth-Pose Learning without PoseNetCode1
Converting Depth Images and Point Clouds for Feature-based Pose EstimationCode1
Transformer-Based Model for Monocular Visual Odometry: A Video Understanding ApproachCode1
LGU-SLAM: Learnable Gaussian Uncertainty Matching with Deformable Correlation Sampling for Deep Visual SLAMCode1
Event-based Stereo Visual OdometryCode1
ES-PTAM: Event-based Stereo Parallel Tracking and MappingCode1
Feature-metric Loss for Self-supervised Learning of Depth and EgomotionCode1
A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with UncertaintyCode1
Deep Event Visual OdometryCode1
Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAMCode1
Efficient Camera Exposure Control for Visual Odometry via Deep Reinforcement LearningCode1
Deep Visual Odometry with Events and FramesCode1
Deep Keypoint-Based Camera Pose Estimation with Geometric ConstraintsCode1
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking DatasetsCode1
Event-Based Visual Odometry on Non-Holonomic Ground VehiclesCode1
DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry0
A Robust Pavement Mapping System Based on Normal-Constrained Stereo Visual Odometry0
4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions0
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry0
cuVSLAM: CUDA accelerated visual odometry and mapping0
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Benchmark Results

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