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 11–20 of 408 papers

TitleStatusHype
Multi-Session SLAM with Differentiable Wide-Baseline Pose OptimizationCode2
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motionCode2
ESVO2: Direct Visual-Inertial Odometry with Stereo Event CamerasCode2
Deep Patch Visual OdometryCode2
IMU-Aided Event-based Stereo Visual OdometryCode2
LIR-LIVO: A Lightweight,Robust LiDAR/Vision/Inertial Odometry with Illumination-Resilient Deep FeaturesCode2
Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized MappingCode2
IncEventGS: Pose-Free Gaussian Splatting from a Single Event CameraCode2
DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic EnvironmentsCode2
VBR: A Vision Benchmark in RomeCode2
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Benchmark Results

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