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 211–220 of 408 papers

TitleStatusHype
MBA-VO: Motion Blur Aware Visual Odometry—0
Unsupervised Learning of Depth Estimation and Visual Odometry for Sparse Light Field Cameras—0
Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry—0
Deep Online Correction for Monocular Visual Odometry—0
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous DrivingCode0
Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching—0
Tight Integration of Feature-based Relocalization in Monocular Direct Visual Odometry—0
Accurate and Robust Scale Recovery for Monocular Visual Odometry Based on Plane Geometry—0
Canny-VO: Visual Odometry with RGB-D Cameras based on Geometric 3D-2D Edge Alignment—0
Transformer Guided Geometry Model for Flow-Based Unsupervised Visual Odometry—0
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Benchmark Results

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