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 291–300 of 408 papers

TitleStatusHype
Visual-LiDAR Odometry and Mapping with Monocular Scale Correction and Visual Bootstrapping—0
Visual Odometry for Pixel Processor Arrays—0
Visual Odometry for RGB-D Cameras—0
Visual Odometry with an Event Camera Using Continuous Ray Warping and Volumetric Contrast Maximization—0
Visual Tracking using Particle Swarm Optimization—0
VSO: Visual Semantic Odometry—0
What My Motion tells me about Your Pose: A Self-Supervised Monocular 3D Vehicle Detector—0
XVO: Generalized Visual Odometry via Cross-Modal Self-Training—0
Visual Odometry with Neuromorphic Resonator Networks—0
Noise Models in Feature-based Stereo Visual Odometry—0
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Benchmark Results

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