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 241–250 of 408 papers

TitleStatusHype
Dive Deeper into Rectifying Homography for Stereo Camera Online Self-Calibration—0
DLO: Direct LiDAR Odometry for 2.5D Outdoor Environment—0
Drift Reduction for Monocular Visual Odometry of Intelligent Vehicles using Feedforward Neural Networks—0
SLAM in the Dark: Self-Supervised Learning of Pose, Depth and Loop-Closure from Thermal Images—0
Smooth Mesh Estimation from Depth Data using Non-Smooth Convex Optimization—0
Some Aspects of Geometric Computer Vision for Analysing Dynamical Scenes focusing Automotive Applications—0
Sparse2Dense: From direct sparse odometry to dense 3D reconstruction—0
SPLODE: Semi-Probabilistic Point and Line Odometry with Depth Estimation from RGB-D Camera Motion—0
SPOT: Point Cloud Based Stereo Visual Place Recognition for Similar and Opposing Viewpoints—0
Stereo-based Multi-motion Visual Odometry for Mobile Robots—0
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Benchmark Results

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