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

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Showing 1–50 of 408 papers

TitleStatusHype
pySLAM: An Open-Source, Modular, and Extensible Framework for SLAMCode7
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual OdometryCode7
Deep Patch Visual SLAMCode4
Self-Supervised Geometry-Guided Initialization for Robust Monocular Visual OdometryCode4
MUSt3R: Multi-view Network for Stereo 3D ReconstructionCode3
Reinforcement Learning Meets Visual OdometryCode3
LEAP-VO: Long-term Effective Any Point Tracking for Visual OdometryCode3
LIR-LIVO: A Lightweight,Robust LiDAR/Vision/Inertial Odometry with Illumination-Resilient Deep FeaturesCode2
ESVO2: Direct Visual-Inertial Odometry with Stereo Event CamerasCode2
IncEventGS: Pose-Free Gaussian Splatting from a Single Event CameraCode2
IMU-Aided Event-based Stereo Visual OdometryCode2
Multi-Session SLAM with Differentiable Wide-Baseline Pose OptimizationCode2
VBR: A Vision Benchmark in RomeCode2
VOLoc: Visual Place Recognition by Querying Compressed Lidar MapCode2
YOLOPoint Joint Keypoint and Object DetectionCode2
SR-LIVO: LiDAR-Inertial-Visual Odometry and Mapping with Sweep ReconstructionCode2
SiLK -- Simple Learned KeypointsCode2
Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized MappingCode2
DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic EnvironmentsCode2
Deep Patch Visual OdometryCode2
PVO: Panoptic Visual OdometryCode2
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motionCode2
LGU-SLAM: Learnable Gaussian Uncertainty Matching with Deformable Correlation Sampling for Deep Visual SLAMCode1
Efficient Camera Exposure Control for Visual Odometry via Deep Reinforcement LearningCode1
ES-PTAM: Event-based Stereo Parallel Tracking and MappingCode1
From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment LayersCode1
Event-Based Visual Odometry on Non-Holonomic Ground VehiclesCode1
Amirkabir campus dataset: Real-world challenges and scenarios of Visual Inertial Odometry (VIO) for visually impaired peopleCode1
Deep Event Visual OdometryCode1
iMatching: Imperative Correspondence LearningCode1
Converting Depth Images and Point Clouds for Feature-based Pose EstimationCode1
Deep Visual Odometry with Events and FramesCode1
S2LD: Sparse-to-Local-Dense Matching for Geometry-Guided Correspondence EstimationCode1
Transformer-Based Model for Monocular Visual Odometry: A Video Understanding ApproachCode1
Modality-invariant Visual Odometry for Embodied VisionCode1
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking DatasetsCode1
Dense Prediction Transformer for Scale Estimation in Monocular Visual OdometryCode1
SF2SE3: Clustering Scene Flow into SE(3)-Motions via Proposal and SelectionCode1
ALTO: A Large-Scale Dataset for UAV Visual Place Recognition and LocalizationCode1
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving ScenesCode1
Is Mapping Necessary for Realistic PointGoal Navigation?Code1
LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative PlaneCode1
360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan EstimationCode1
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view StereoCode1
MotionHint: Self-Supervised Monocular Visual Odometry with Motion ConstraintsCode1
Towards Robust Monocular Visual Odometry for Flying Robots on Planetary MissionsCode1
Instant Visual Odometry Initialization for Mobile ARCode1
RAM-VO: Less is more in Visual OdometryCode1
VOLDOR-SLAM: For the Times When Feature-Based or Direct Methods Are Not Good EnoughCode1
VOLDOR: Visual Odometry from Log-logistic Dense Optical flow ResidualsCode1
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Benchmark Results

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