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 351–360 of 408 papers

TitleStatusHype
SiLK: Simple Learned Keypoints—0
Simultaneously Learning Corrections and Error Models for Geometry-based Visual Odometry Methods—0
Single-Photon 3D Imaging with Equi-Depth Photon Histograms—0
Neural Outlier Rejection for Self-Supervised Keypoint LearningCode0
Robust Vehicle Localization and Tracking in Rain using Street MapsCode0
Brain-Inspired Visual Odometry: Balancing Speed and Interpretability through a System of Systems ApproachCode0
Mono-hydra: Real-time 3D scene graph construction from monocular camera input with IMUCode0
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature ReconstructionCode0
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous DrivingCode0
ROVO: Robust Omnidirectional Visual Odometry for Wide-baseline Wide-FOV Camera SystemsCode0
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Benchmark Results

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