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 2650 of 408 papers

TitleStatusHype
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D CamerasCode1
OV^2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time ApplicationsCode1
Feature-metric Loss for Self-supervised Learning of Depth and EgomotionCode1
From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment LayersCode1
Event-based Stereo Visual OdometryCode1
Deep Visual Odometry with Events and FramesCode1
360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan EstimationCode1
ES-PTAM: Event-based Stereo Parallel Tracking and MappingCode1
Event-Based Visual Odometry on Non-Holonomic Ground VehiclesCode1
MotionHint: Self-Supervised Monocular Visual Odometry with Motion ConstraintsCode1
Amirkabir campus dataset: Real-world challenges and scenarios of Visual Inertial Odometry (VIO) for visually impaired peopleCode1
Modality-invariant Visual Odometry for Embodied VisionCode1
Visual Odometry Revisited: What Should Be Learnt?Code1
LGU-SLAM: Learnable Gaussian Uncertainty Matching with Deformable Correlation Sampling for Deep Visual SLAMCode1
DF-VO: What Should Be Learnt for Visual Odometry?Code1
ALTO: A Large-Scale Dataset for UAV Visual Place Recognition and LocalizationCode1
LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative PlaneCode1
Efficient Camera Exposure Control for Visual Odometry via Deep Reinforcement LearningCode1
Nonparametric Continuous Sensor RegistrationCode1
Instant Visual Odometry Initialization for Mobile ARCode1
Is Mapping Necessary for Realistic PointGoal Navigation?Code1
Deep Event Visual OdometryCode1
Deep Keypoint-Based Camera Pose Estimation with Geometric ConstraintsCode1
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving ScenesCode1
Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAMCode1
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Benchmark Results

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