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 101–110 of 408 papers

TitleStatusHype
Event Camera-based Visual Odometry for Dynamic Motion Tracking of a Legged Robot Using Adaptive Time Surface—0
Transformer-Based Model for Monocular Visual Odometry: A Video Understanding ApproachCode1
Modality-invariant Visual Odometry for Embodied VisionCode1
FSNet: Redesign Self-Supervised MonoDepth for Full-Scale Depth Prediction for Autonomous Driving—0
Visual-LiDAR Odometry and Mapping with Monocular Scale Correction and Visual Bootstrapping—0
SiLK -- Simple Learned KeypointsCode2
Learning a Depth Covariance Function—0
Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network—0
Discovering Multiple Algorithm Configurations—0
Virtual Inverse Perspective Mapping for Simultaneous Pose and Motion Estimation—0
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Benchmark Results

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